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Medicalization - Science topic

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Questions related to Medicalization
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Hello, I am a recent medical graduate looking for remote research opportunities. I am currently based in India.
Interested in: Clinical Medicine - Literature review and Metanalysis - Basics
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Hi, search in telegram, there are research opportunities and people looking for authors. Contact me if you need help.
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While working on a thesis, I want to add a para or 2 about the historic aspect of the topic. Where should this be incorporated. I see some suggestions in Introduction and others in Review of Literature. I would be really greatful if you could share some insights about it.
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for authoritative and elaborate research papers including a PhD thesis, it is advisable to include the historical perspective just after the introduction. You want with this allow the readers understand where you are coming from with respect to your research project. In this historic view you would describe prior works done on the subject of your research including relevant citations.
For small research papers and technical reports it is fine to combine the introduction and the historic view.
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This is with reference to the evolution in digital health
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Before the 1990s, the medication prescription process was quite different from what it is today:
  1. Interaction with Physicians: Patients typically had face-to-face consultations with their doctors. The physician would conduct a thorough examination, take detailed patient histories, and make diagnostic assessments before prescribing medications.
  2. Limited Access to Information: Information about medications was primarily available through medical textbooks, drug brochures, and consultations with pharmacists. There was less access to online resources, so healthcare providers relied heavily on their education and experience.
  3. Prescribing Process: Prescriptions were often handwritten on paper by physicians, and patients would take these to a pharmacy to have them filled. This process involved the pharmacist interpreting the handwriting, which could sometimes lead to misunderstandings.
  4. Regulatory Environment: The regulation of pharmaceuticals was less stringent, with fewer guidelines governing the prescription process. Drugs were often approved based on smaller study populations, and there were fewer post-marketing surveillance systems in place.
  5. Pharmaceutical Sales Representatives: Pharmaceutical companies employed sales representatives who would visit physicians to promote their drugs. This could potentially influence prescribing habits, but the transparency around such interactions was less emphasized.
  6. Limited Patient Involvement: Patients had less access to their medical records and lab results compared to today. The decision-making process was more physician-centric, with patients generally following their doctor's recommendations without much discussion or input into their treatment plans.
  7. Drug Information Resources: While there were resources like the Physicians' Desk Reference (PDR) for drug information, they were not as comprehensive or accessible as today's online databases. Healthcare providers relied more on their training and less on up-to-date information.
  8. Insurance Reimbursement: Insurance coverage for medications was less standardized, and formularies were less comprehensive. Patients often faced higher out-of-pocket costs, making medication affordability a significant concern.
  9. Technological Limitations: The use of technology in healthcare was limited. There were no electronic health records (EHRs) or computerized prescribing systems, which increased the likelihood of errors and made the tracking of prescriptions more cumbersome.
The medication prescription process Nneoma Prisca Ezechinyere-Opara before the 1990s was characterized by more traditional practices, limited patient engagement, and less access to information and technology compared to contemporary standards. The evolution of healthcare, influenced by advancements in technology and a shift toward patient-centered care, has significantly transformed the approach to medication prescribing in recent decades.
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What is the relevance of a patient’s
medical history to his or her
periodontal care?
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Many aspects of a patient’s medical history may be particularly
relevant to his or her periodontal care. These are discussed
further in subsequent chapters but may include the
following:
• Medical problems can increase susceptibility to
periodontal diseases (e.g., diabetes and HIV) and may, in
whole or in part, explain the particular clinical
presentation and disease severity.
• Medical problems can have periodontal and other oral
manifestations (e.g., leukaemia and mucocutaneous
disorders).
• Prescribed and nonprescribed medications can have oral
and periodontal side effects (e.g., calcium channel
blocker or phenytoin).
• Is periodontal infection a risk factor for systemic diseases
or conditions that affect overall health? There is
emerging scientific data on the association of
periodontal disease with common systemic medical
problems such as cardiovascular disease, stroke, diabetes,
osteoporosis, and low-birth-weight infants. Future
targeted anti-inflammatory therapies for patients with
periodontal disease may modulate inflammation and,
hence, lower risk for systemic conditions.
• Particular existing or previous medical conditions or
medications may need specific precautions to be taken
to avoid complications during or after treatment (e.g.,
antibiotic prophylaxis and patients on certain
medications such as anticoagulants or
bisphosphonates).
• Treating certain conditions may present additional risk to
the dental team (e.g., communicable diseases) and may
alter the way treatment is provided (e.g., not using
ultrasonic instrumentation to avoid producing aerosol).
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The mechanism of the new method Cancer Therapy exhibits combination Prolonged medical starvation 42 - 45 days with considerably decreased dosage of cytotoxic drugs which was described in detail in the article: Ponizovskiy M.R., The detailed description mechanisms of the herbs extracts operations in the new method cancer disease treatment via rearrangement of metabolism from pathologic development into normal development, Journal of Clinical Trials, 2012, v. 2, Issue 4, doi:10.4172/2167-0870.1000124. The mechanism of this method of cancer therapy operates via Warburg effect targeting. The purpose of this work is substantiation the supplementary mechanisms of efficient Cancer Therapy via combination “Prolonged medical starvation” with considerably decreased dosage of cytotoxic drugs and also substantiation advantage of this method of cancer therapy in comparison with cancer treatment with great dosage of cytotoxic drugs. There were described the biochemical and biophysical mechanisms of formations resistance to some cytotoxic drugs and recurrence cancer disease after modern methods chemotherapy with large dosage cytotoxic drugs after some disease remission. Also it was described the benefits of use the method “Prolonged medical starvation” with decreased dosage of cytotoxic drugs for cancer treatment. It was substantiated the mechanism operation of this method cancer treatment, which leads to suppression cancer metabolism of Warburg Effect and create depression of cancer disease metabolism without resistance to decreased dosage of anticancer cytotoxic drugs in comparison with intensive anticancer chemotherapy with great dosages of cytotoxic drugs which violate immune and hormonal defensive systems of an organism. The offered method Cancer Therapy should be made by Clinical Trial for introduced into official practical medicine.
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Firstly, the proposed experimental works of oncogenesis are also described in my published works, e.g. one of these works: Ponisovskiy M.R., (2010), “Cancer metabolism and the Warburg effect as anabolic process outcomes of oncogene operation”, Critical Reviews in Eukaryotic Gene Expression, 20 (4), 325 – 339. But experimental works of oncogenesis are not touched on the methods of Cancer Therapy.
Secondly, the viral etiology of cancer disease is not rejected ever today and ever will be remained through 100 years.
Thirdly, all current methods of cancer treatment are used the large doses of cytotoxic drugs which suppress of the organism's defense mechanisms of immune systems and hormonal systems versus to new method of cancer treatment which minimal doses of cytotoxic substances are the advantage of new method cancer therapy. Please, don't forget this!
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I find some Federal and some State law that provides protection for certain medical professionals from tort liability. What about other volunteers who are not medical personnel? Also credentialing, and background checks can be time consuming and have cost. Should those types of things be done for everyone or only in certain cases?
As a student I appreciate the opportunity to ask questions! Thanks jlh
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The biggest scam in medical tort law avoidance is the federal preemption employed by drug companies to escape product liability suits.
As for volunteers, when you volunteer it comes with the duty of care.
Progressing to credentialing and background checks, yes it must be for everyone, volunteers included. Its a sad fact that volunteering attracts not just the Good Samaritans but all to often the bad actor too.
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I have one for Montefiore Medical Center and also have another one Bronx Community College. I have published research papers out of Bronx Community College that are not showing here.
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If you have two ResearchGate accounts, you can merge them quickly and easily:
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Colleagues: Academic Medicine & Surgery is open for submissions:https://academic-med-surg.scholasticahq.com/for-authors The journal accepts original research, practice innovations, educational advances in medicine and surgery, reviews, case reports, clinical images, surveys, and data notes. There are NO article processing charges, and the turnaround time from submission to decision is less than 15 days.  Submit your work today! editor@universitymedicalpress.org
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It highly desirable. Congratulations
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In the medical field, antibiotic resistance is a difficult problem to overcome. With the widespread use of antibiotics, bacteria have gradually evolved the ability to resist these drugs, which has caused many common infections to become difficult to treat. Antibiotic resistance not only affects the health of individual patients, but also poses a serious threat to public health, increasing medical costs and mortality.
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Antimicrobial resistance is a global crisis that requires coordinated international collaboration, as it affects public health, agriculture, and the environment. One of the most effective strategies to address this challenge is the implementation and strengthening of Antimicrobial Stewardship Programs (ASPs), which aim to optimize the use of antibiotics, ensuring their prescription only when necessary, in the correct dose, and for an appropriate duration. These programs not only combat resistance but also improve clinical outcomes and reduce healthcare costs. Furthermore, global efforts should include strengthening surveillance systems to monitor resistance patterns and antibiotic consumption, educating professionals and the public about rational use, incentivizing innovation for new antimicrobials, diagnostic tools, and vaccines, and implementing stricter regulations on the use of antibiotics in agriculture and livestock. It is also essential to ensure equitable access to effective antibiotics worldwide, preventing inappropriate use in resource-limited settings. ASPs play a key role in this process, providing a framework for rational antimicrobial use and helping to preserve their efficacy and protect public health for future generations.
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Quality of Medical Education, time of admission, start of academic session and timely examination after completion of minimum teaching hours recommedned by National Medical Commission are multiple facets regulating standards of medical education in any country of the world including India.
The Medical Council of India is replaced by the National Medical Commission which through its four Autonomous Boards regulating the quality of medical education in India. COVID-19 crisis has its impact on timely start of academic session and timely conduct of examination in all medical colleges of India, which was beyond the control of human being. But after the end of COVID-18 Crisis in 2021 we are now entering NEW YEAR 2025, still we are not able to recover from time schedule for admission and examination, on 20th December 2024, Hon'ble the Supreme Court of India allowed admissions of vacant seats in private medical colleges and extended last date for admission till 30th December 2024.
Is this right time for all those who are interested in improving the quality of medical education in India which is durectly related to Right to Life /Health as Fundamental Right under Article 21 of the Indian Constituion?
Need for debate on this important issue by all stakeholders
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Yes, the academic calendar for medical education can impact the quality of medical education. A well-structured calendar allows for balanced time allocation between theoretical learning, practical skills, clinical exposure, and assessments. It ensures adequate time for students to absorb complex concepts, engage in clinical practice, and participate in extracurricular activities, which can enhance overall learning outcomes.
Conversely, a poorly planned calendar may lead to burnout, insufficient clinical experience, or rushed learning, negatively affecting the quality of education.
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Lot of changes in the education system has happened during the covid 19 pandemic period and student who were opted to MBBS got affected because of delay in class starts, difficulty in sitting and understanding the topics in the classes or skill development including the lesser flow of patents to the medical college hospitals. The teachers also got a kind of casual of attitude which may be attribute to the quality of medical education . Let us have our opinion over this.
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As my view, the quality of undergraduate medical education in India has faced challenges in the post-COVID-19 era, including disruptions to in-person learning, limited clinical exposure, and reliance on online teaching methods. While some institutions have adapted by integrating digital tools, the lack of hands-on experience and reduced patient interaction has affected practical training.
Additionally, there are concerns about the varying quality of education across institutions, with some struggling to maintain standards. However, efforts to enhance online resources and adapt curricula are ongoing to address these issues.
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I am currently working on a deep learning model for diabetic retinopathy classification using OCTA images. One challenge I’ve encountered is ensuring the generalizability and reliability of the model, given the limited size of available datasets. While I’ve implemented data augmentation and transfer learning, I am exploring additional methods to enhance the model’s robustness and clinical applicability.
For those experienced with AI in medical imaging, particularly with small datasets, what strategies or techniques have you found effective? Additionally, how do you approach validating such models in real-world clinical settings to ensure they meet practical diagnostic standards?"
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models can ensure generalizability and reliability in medical imaging applications with limited datasets by utilizing techniques such as transfer learning, where models pre-trained on larger datasets are fine-tuned on smaller, specific datasets. Additionally, employing data augmentation methods can enhance the diversity of available data, helping the models learn more robust features and improve performance across varied clinical scenarios.
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HOSPITALS PRIVATE AND GOVT.
NEGLIGENCE OF DOCTORS
VICTIMS AND RELEIF
LEGAL PROVISIONS
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As per provisions of Law this is dealt under tortious act in India, if indemnity is not signed.
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Psychiatry used and using a range of hypnotics, mainly as tranquillisers, most of which like Ativan are now on the dangerous drugs lists now.
These drugs have commonly been used in date rape instances because by using them the victim becomes more suggestable. Many reading this would have been prescribed them. Why were you given them and how did they affect you? Their addictive nature was ignored by the medical profession. But why the need to convince?
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They are considered sedative-hypnotics and can be abused.
Rich
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i want the most relevant research
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Negative Impacts of Greed in Medicine:
  1. Rising Healthcare Costs: Greed can drive up the costs of medical treatments, medications, and procedures, making healthcare less affordable for patients.
  2. Quality of Care: When profit becomes a primary focus, the quality of patient care can suffer. Medical decisions may be influenced by financial incentives rather than patient needs.
  3. Access to Care: Greed can lead to disparities in healthcare access, with wealthier patients receiving better care while those with fewer resources face barriers to treatment.
  4. Ethical Concerns: Financial incentives can lead to unethical practices, such as overbilling, unnecessary procedures, and conflicts of interest.
  5. Burnout Among Healthcare Providers: The pressure to generate profit can contribute to burnout among doctors and nurses, affecting their well-being and ability to provide quality care.
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October 30, 2024
Dear Prof. Roberto Boi
I have thoroughly reviewed your article entitled "Podocyte Geranylgeranyl Transferase Type-I Is Essential for Maintenance of the Glomerular Filtration Barrier " and found it to be exceptionally impressive and insightful. I am a pediatric nephrology PhD student from Fujian Medical University and would like to ask you a question. I sincerely hope that you can reply in your busy schedule. The paper references "total β1 integrin (Merck Millipore, Burlington, MA)" and "active β1 integrin (BD Biosciences, San Jose, CA)."  I am interested in acquiring these antibodies for my studies. Can you kindly provide more detailed information about these two reagents? Such as Clone or Cat No or the full name of reagents? Thank you very much for your kind assistance.
Best regards,
P.R. China
Sincerely yours,
Yuanyuan Li, M.D.
Department of Nephrology, Rheumatology and Immunology, Fujian Children’s Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University,966 Heng Yu Road, Jin’an District,
Fuzhou 350014, Fujian
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I am not the Scientist you are searching for, sorry
HJ Schurek
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"I am currently researching the applications of nanotechnology in the medical field, specifically for cancer treatment. I am interested in understanding the various methods being explored to use nanomaterials for targeting cancer cells more effectively, minimizing side effects, and improving treatment outcomes. Could anyone provide insights or recent studies that explore these advancements, or suggest relevant papers and resources on this topic?"
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Searching about some ideas for a medical review article I want to try some help from the AI application, however the results are not clear so I have a questions like. What is the best or the most useful AI application for review articles? Are there any AI application specific for the medical literature review?
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ScholarAI - Scientific literature review
ClinicalKey AI - Medical literature review
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Our research team seeks collaborations with academics across all disciplines—engineering, humanities, and medical sciences—to cite our publications. We offer a compensation and recognition program for each valid citation and reference. Please contact us for further details.
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How can offering "compensation" for citations possibly be ethical?
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Are you working on groundbreaking research in the medical or healthcare fields and looking for a reputable journal to publish your work? Medical Innovation is a peer-reviewed, open-access journal based in Canada, dedicated to advancing cutting-edge research across clinical practice, public health, biomedical sciences, and more.
We invite original research, review articles, case reports, and other submissions.
Have any questions about the submission process or how Medical Innovation could be the right platform for your research? Feel free to reach out, and let's discuss!
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Most welcome! The journal also warmly welcomes submissions from graduate students and early career researchers.
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What is female sexuality?
Does it include pregnancy, childbirth and menstruation?
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Interesantes preguntas
Son cosas diferentes, aunque guarden una estrecla relación
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The medical education curriculum has changed a lot of the years. The latest offshoot of these changes are the Competency Based or Outcome Based approach with a plethora of newer TLMs such as SGDs, ECE, IL and PBL strategies just to name a few.
However, are these tools in our arsenal sufficient enough to keep the next generation learners actively engaged and participated in the present medical education scenario? What are your experiences? How much more far we have to stretch, in case if the same is required?
(Gen Alpha is still in Schooling years, and has not yet reached a professional course.)
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In fact, eliminating subjectivity to enforce maximum objectivity in assessments could backfire, especially with Gen Z learners. While assessments can drive learning, strict, high-pressure testing environments may not motivate Gen Z the same way they did Gen Y or Millennials. Gen Z tends to thrive in less competitive, more supportive environments and is better suited to learning through visual and auditory mediums rather than dense textual analysis. Trying to reverse-engineer them by imposing Gen Y traits may be counterproductive. Instead, education should adapt to their strengths, incorporating varied assessment methods that balance objectivity with creative, flexible approaches that cater to their learning styles.
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Can patients on steroids medication go for dental implants treatment | Steroids and dental implants?
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Steroids decreases BMD in the long-term and often patients use bone anti-riabsorbitive therapy in order to contrast this effect. steroid therapy is not a strict contraindication, but the antiriabsorbitve therapy could lead to ONJ after implants, so an accurate anamnesis and evaluation of BMD could ease the success of the implant
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How Medications Can Affect Dental Implant Treatment
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Administration of analgesics may provide some advantages in the management of postoperative pain after dental implant placement, but further research is warranted. While the available literature offers some
analgesic protocols for dental pain based on anticipatedpostprocedural pain level ,specific evidence-based analgesic schemes for dental implant
surgery remain undefined. Unfortunately, the wide surgical
variability of the implantology practice and the large quantity
of molecules and protocols available in the literature prevent from
providing indications about the best treatment for postoperative
pain control. Further research including studies with adequate
sample size comparing standardized implant approaches is
needed to inform best practices in this domain.
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Dear Scholars,
Would you please share your understanding, and academic and research experiences regarding the effects of Exchange Rate Volatility? What are the main effects that influencing entire balance of economy?
Effect of exchange rate volatility on:
1. Economic growth
2. Currency Demand
3. Exports
4. Imports
5. Energy Price
6. International Flow of funds (including FDI)
7. Foreign aid, debt interest repayments
8. Foreign Remittance
9. Money Exchange Business
10. Bank’s Financial Performance
11. Social Effects (tourist and medical tourist)
12. Social Effects (Education and Academic Tourist)
13. Lifestyle effects or domestic consumption (due to Inflation)
14. De-dollarization tendency
15. Firm-level effects (Garments sector)
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Exchange rate volatility can impact the economy by creating uncertainty for businesses, affecting international trade and investment. It can lead to higher costs for imports, disrupt financial planning, and influence inflation and interest rates. For exporters, volatility can either benefit or hurt profitability depending on the direction of the exchange rate movement.
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I want to know if I am working as a Assistant professor in Dental Department of Medical college and after 4 years of experience can I directly be able to join a Dental college as associate professor or Reader in the department of my fraternity. Can any one plz guide or give the reference if I have to switch from MCI to DCI in India.
what the exact value of paper regarding promotion?? or what is the point needed for promotion in DCI in 2019.
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Hello, I have 5.5 years of experience in dental college as a tutor in anatomy subject. Dose my experience count in medical college?
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How can we best add artificial intelligence to medical surgery? Is it possible for humanoid robots to replace doctors in some precise internal medicine surgeries?
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If surgical robots can reach the level of doing bespoke tailoring and know enough applicable anatomy and pathology as a competent surgeon ! ? So many crafts are learned not just by brain & knowledge but by heart & perseverence !?
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Genetic engineering involves altering the DNA of any organism to achieve desired traits, such as in crops or animals. Gene therapy, on the other hand, specifically targets correcting or replacing defective genes in humans to treat diseases. The main difference is that genetic engineering is broader and applies to various organisms, while gene therapy is focused on medical treatment in humans.
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Genetic engineering broadly modifies the DNA of any organism for desired traits, while gene therapy specifically aims to treat human diseases by fixing or replacing faulty genes. The key difference is that genetic engineering applies to various organisms and purposes, whereas gene therapy is focused solely on medical treatment in humans.
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Recent strike by doctors, after bruital rape and murder of resident doctor of R.G. Kar Medical College, Kolkata taken cognizance by the Hon'ble Supreme Court of Inida and M.P. High Court (Jabalpur Bench) and it is hoped that some positive solution may come out on the issue of safety and security of medical satff and patient community in India.
There is a need for all concerned stakeholders to discuss and debate on this important issue of immense public interest to bring some positive outcome acceptable to all including patient community which is main sufferer of strike, especially poor patients in need of healthcare. Article 21 of the Indian Constituion come into picture for protection of patient community, especially when there is emergency. The Indian Medical Council (Professional Conduct, Etiquettes and Ethics) Regulations, 2002, regulate conduct of medical professionals, through concerned state medical councils and the National Medical Commission/ Ethics and Medical Registration Board.
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few things need to change. E.g. the charter of duties of the head of the hospitals needs to include "Safety and security of all within the hospital premises". This must be non-negotiable.
On their part NMC can include it in Head of the Institution's charter. Similarly it must be mandated by all state govts for their hospitals.
The Head needs to be personally responsible for safety and security of everyone within the hospital - Staff, patients and visitors and must be tasked to implement any and all measures as necessary.
All those external to the hospital - Govt, ministers, police etc come much later.
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Now a days in India, market driven self-investigaitons are offered by many corporate laboratories, in the form of various packages like: whole body check-up, preventinive check-up, etc. without consultation with physician/consultant, which causes wastage of resources and ethical issues are need to be debated.
Interpretaiton of results of investigation is depends on half knowldage or inadequate knowldage by the patient side. This unneccessary demand for investigaitons needs to be discussed and debated and look after by regulatory authorities/bodies like, National Medical Commission (NMC), Ethics and Medical Registration Board(EMRB) and state medical council and medical fraternity.
If self-medication is harmful than why not self-investigaiton is harmful. This issue is of public interest seeing the lack of knowledge among masses related to medical science and advancement in research day-by-day.
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Self investigation is totally a corporate advertising and selling investigation to the people i general which leads increased over the counter medication and supplement selling.
It often leads to half, wrong and even over medication which highly dangerous to the people and patient.
Topic needs to debated and proper guideline should be issued and implemented by concerned bodies
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Now the war enters the second year and no end is seen
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Medical students must be resilient and they must be helping hand and should assist the injured people and soldiers of war.This will provide them practical knowledge which is foremost then online studies
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🔒SCI: Call for Papers-Cutting-Edge Machine Learning and AI Innovations in Medical Imaging Diagnosis
Journal: CMC-Computers, Materials & Continua (SCI IF=2.0)
📅 Submission Deadline: 01 June 2025
🌟 Guest Editors:
Dr. Ahmed Shaffie
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I have a cathode electrode (5 x 5cm) on the femoral triangle and an anode electrode (5 x 10cm) on the gluteal fold.
We are doing repeated high-intensity cycling followed by repeated Wingates. We noticed that the stimulation electrodes become less adhesive due to sweat accumulation. We have put medical tapes on the borders of the electrodes, which seems to improve this.
Does anyone have any recommendations/tips on how to improve this?
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Try pre wraps or Coban wraps maybe?
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Hello,
In complicated departments such as Neurosurgical departments for example, some patients have a high likelihood of falling. Sometimes, due to their clinical state, some patients still try to get out of bed by themselves, so the medical stuff elevated the bed railings to prevent them from getting up by themselves. in many cases, the patients still try to climb other the railings and end up falling, which prolongs the recovery duration.
I'm gathering data regarding different methods that are used in hospitals to prevent those types of falls and prevent them before they happened. I'm especially interested in existing solutions that use passive (meaning the patient doesn't need to wear any sensors on himself) alarming system that notifies the medical stuff of such climb attempts in real time, which allow the medical stuff to stop the climbing attempt and prevent the fall in time.
I tried looking for articles regarding patient fall prevention, and also made contact with some hospitals, but wasn't able to find any useful information.
Thank you very much for your time and attention.
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Dear Colleagues
Please find my most recent article about fall prevention in older adults and the role of nursing.
Looking forward to your feedback
Kind regards
Tiago
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The idea of Knower and Knowing has been developed by me elsewhere, but can be found examined by others. Usually they reflect public ideas such as psychology but these twin perceptions can be utilised for other accepted thinking.
While the Knower implies authoritarian traits linked to medical ideas, amongst other disciplines, Knowing more supplies the process. Becoming a Knower: Fabricating Knowledge Through Coaction, Fester-Seeger, 2024. Fester Seeger looks more at the processes of training, a strong part of doctor and social worker attainment of knowledge, but equally can be used to understand other 'public' ideas.
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Am aware of her (MT Fester-Seeger) work Stanley Wilkin , with respect to social epistemology. The legitimacy of the knower, knowledge and knowing is definitely bound to a social power structure and its interactive hierarchy, in terms of knowledge production and distribution. In this sense, my approach is closer to K. Mannheim: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2804433
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If a bipolar patient who has been taking medication for more than 10 years wants to have a child, will the medication create an obstacle for the child, or what will happen to the health of the child and the mother if she/he quits medication completely within the 9-month period?
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Many mothers with Bipolar affective disorder successfully give birth and raise children. Just because an adult has a health condition does not limit their right to have children naturally, although it can be a barrier to adoption. I wonder if you would even ask this question if the health condition was something else such as a musculoskeletal disorder. The question itself may be exacerbating stigma against people with treatable mental illnesses. Do not assume all disorders with the same label are the same and that all patients are able to manage their conditions equally with and without medical help. One of the key facts about Bipolar disorder is that two patients with the same diagnostic label, similar history and treatment, can have very different experiences, course patterns of disease, lifestyle, and treatment outcomes. The starting ethical principle here it to recognize, protect, and support the individuals rights. These include to be informed fully, and to choose freely from legal options, with appropriate medical support for either choice; to have a child or not. It is not appropriate for a medical professional to insert their personal views, which are often influenced more by community stigma than fact, into this patient's personal and legal space.
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My expertise in computer science is exclusively in data mining and medical datasets.
I am interested in working in a research group remotely and without salary (only for conducting research and writing articles).
Is anyone interested in having me in their research group?
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Our research team in Iran is pleased to utilize your expertise in Deep Learning (DL) and Machine Learning (ML) in the near future for Structural Health Monitoring of civil structures, including bridges and buildings. I will keep you informed when we begin a new research paper. If you would like to participate, we will have an introductory virtual meeting to further discuss our research framework and responsibilities.
Best regards,
Hossein
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Since the moment your beginning to use medication treatment your blood is addicted to drug medication -The fact Pharmaceutic Corporation it has take billions people cells to laboratory and the test of the blood are been hiden into secret laboratory -Corporation of Produce Medication Drugs it produce various medicament drugs as your cell is combine -and they do know you are addicted once you take medication -as your blood it already change structure of health and metabolism of construction inside as the medicaments is controlling your blood cells
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Dear Doctor
Go To
Blood-lead level in humans and drug addiction: a comprehensive study in Iran
  • October 2023
  • Environmental Science and Pollution Research 30(9)
  • DOI:10.1007/s11356-023-30179-3
  • By Amir Ghaderi et al.
[Drug abuse has a high prevalence worldwide and causes many health-related disorders. There are limited human exposure studies on establishing lead exposure levels and their propensity for drug addiction. In the present study, blood samples were tested for lead (Pb) concentrations in illicit drug users together with the related symptoms in comparison with control group of non-drug users. The study was performed on 250 volunteers divided equally in four drug groups, namely, opioids, hashish, methadone, and methamphetamine, and one control group of non-drug users. Participants were recruited from drug addiction clinics and camps in Kashan city, Iran, who were using drugs continuously for more than 1 year. Control group was recruited from companions of the patients with no drug use history. In the investigated groups of drug users, the highest blood-lead level (BLL) concentrations were observed in the opioid group (mean 37.57 µg/dL) with almost 3.7 times higher than in the control group (mean 3.39 µg/dL). In the methamphetamine group, type of occupation had the significant association with BLL concentrations. The positive correlation was revealed in the opioid and methadone groups for BLL concentrations and the duration of drug usage. In the opioid group, the highest BLL concentrations were observed among users who used both methods of drug use: smoking and eating. Also, several behavioral and life-style factors were identified which influence the blood-lead concentration in the drug users. The results of our study revealed that the BLL concentrations in investigated drug users’ groups were significantly higher than in the control group (P < 0.001). That can be related with the Pb contents in illicitly used drugs. Apart other adverse health effects, long-term illicit drug use might cause to lead poisoning.]
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I have seen two kinds of explanations given for the phenomenon that I try to draw in the attached png document. One explanation says that an air bubble creates the experience of a solid black circle at the bottom of the visual field. This might occur when an injection of medication such as Avastin is given that happens to have had some air in the syringe. The other explanation that I have seen says that silicon lubricant intended to facilitate movement of the plunger in the manufacturer-provided syringe flowed into the medication, so there is a bubble, not of air but of some fluid. (Avastin obstructions are described in many places on the Internet, but I'm trying to understabnd a different injectable medication I received,)
I have tried to experimentally produce shadows of air in test tubes, and such bubbles create shadows that are hollow circles.[ EDIT: My experiment was inadequate if, as I believe, the smaller the bubble of air the darker and more equally dense the shadow will be from side to side,] The fact that the circular obstruction in the visual field is not completely opaque and permits reading of text on a field that is dark but not black or opaque, and the fact that the letters of the text are distinct and not distorted, makes me think that whatever was introduced into the eye (and gradually decreased in volume over the next 24-36 hours) may well have been a foreign fluid. Whatever it is appears at the very bottom of my visual field, no matter how I have positioned my head, so I conclude that it must be a single globule that floats at the top of the normal fluid in the eye.
I'm waiting for some test tubes to try working with various oils. Thanks for any insights that researchers with expertise in this area may be able to provide.
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This bubble is the drug that is injected it’s a good sign for the patient and doctors to get sure that the drug i inserted in the vitreous not in other place.
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I would like to do an insilico study in a medicated milk. So planning to do LCMS for identifying the phytoconstituents of the same. But the experts suggested to extract the protein and fat portion and do the LCMS. Is there any other methods to use the medicated milk as a whole for LCMS. Is it possible to use the formulation as a lyophilized powder and reconstitute it with methanol for analysis?
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Thank you so much for giving me a clear answer.
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Dear Colleagues,
I'm seeking dedicated professionals to join our peer review team for several esteemed medical and nursing journals. This is a great opportunity to contribute to the advancement of medical and nursing sciences, gain valuable experience, and enhance your professional profile.
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Your contributions will be instrumental in maintaining the high standards of our publications. We look forward to your participation and will contact you to discuss further details.
Thank you for considering this opportunity to make a significant impact in the medical and nursing community!
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If you are interested in becoming a peer reviewer, please reply (or send them here at nursing861@gmail.com) with the following information:
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I am conducting research for my capstone project on the accuracy and completeness of ChatGPT-generated medical information and would greatly appreciate your insights and expertise on this topic.
Below are a few questions I have regarding the methodology used in assessing ChatGPT-generated medical information but feel free to offer any alter ate insights.
1. What methodologies are commonly employed to evaluate the accuracy and completeness of AI-generated medical responses like those produced by ChatGPT?
2. Could you provide examples of specific metrics or criteria used to assess the accuracy of ChatGPT-generated medical information?
3. How do researchers ensure the reliability of human assessments when grading the accuracy and completeness of ChatGPT-generated medical responses?
4. Are there any established guidelines or best practices for designing experiments to evaluate the performance of ChatGPT in generating medical information?
5. In your experience, what are the main challenges or limitations associated with current methodologies used to assess the accuracy and completeness of ChatGPT-generated medical information?
Your valuable input will greatly contribute to the depth and rigor of my research. Thank you in advance for your time and consideration.
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You should verify the medical information provided by ChatGPT with trusted medical professionals or authoritative sources. While ChatGPT strives for accuracy, it is not a substitute for professional medical advice or diagnosis. You should exercise caution and critical thinking when interpreting and acting upon the information provided by ChatGPT.
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I see that the co-author of my publication (Alexander Baranov) is a person who is impersonating another person with the same name. I also assume that this author has appropriated authorship in other publications of Alexander A. Baranov. I am almost sure of this, because this person (Alexander Baranov) is only a student at a medical institute, while Professor A.A. Baranov is the chief pediatrician of Russia, and indeed is the author of national guidelines. I ask you to remove the affiliation of this person from my publication at least.
Allergic rhinitis
  • January 2020
  • Rossiiskaya rinologiya 28(4):246
  • DOI: 10.17116/rosrino202028041246
  • 📷Alexander Baranov - this person is not the author of this publication!!!!!
Actual co-author this publication - Alexander A. Baranov's research while affiliated with Russian Scientific Center of Surgery named after Academician Petrovsky and other places
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Unlike this help page (to which Anton Vrdoljak pointed) suggests, most probably it was not the other author himself who wrongly claimed authorship, but ResearchGate's automatic algorithm wrongly identified him as the author and assigned your publication to his profile. This is a frequent problem in ResearchGate in case of similar names.
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citation needed
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On the impact of AI
"There are certainly lots of opportunities for AI to improve things. It would be ideal if AI could simplify more routine tasks and free our dedicated and innovative staff to take on more complicated and engaging initiatives. But I think we are all aware of some of the potential dangers AI brings in terms of propagating misinformation and discord. There is a great need to work with our community and reach understandings about the best ways to incorporate AI into our collective work..."
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We all know that the long life and happiness of millions need agood diet .health and energy ,and therefore the education and how to neducate people of how to treat our body to keep health and long life
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Modern medical health, through practices such as , best practice hospital care, and a balance of medical and nonmedical factors, aims to improve long-term survival, quality of life, and reduce treatment side-effects in chronic conditions like cancer and stroke.
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medical education and quality assurance are linked?
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Quality assurance in medical education and health care delivery are not separate entities, as they both play a crucial role in maintaining high standards of patient care and ensuring public accountability in both sectors.
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The title of the study:-
Barriers and perceptions to medication administration error reporting among nurses in Saudi Arabia
by Abdulrahman Abdullah Albukhodaah
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Dear Abrahim Haidah See enclosed file. Is this what you are looking for?
Best regards.
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Hi everyone,
I have data available for 4 years. To Compare weight-loss outcomes between the four medication groups for whole years, I will apply one-way ANOVA.
but I will be asked to compare weight-loss outcomes between the four medication groups for each year of the study. My question is,
should I apply one-way ANOVA 4 times as I have four years?
Thanks
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To compare weight-loss outcomes between the four medication groups for the entire duration of the study (four years), you can use a one-way ANOVA. Here's how you can do it:
  1. Data Preparation:Organize your data into a spreadsheet or dataset where each row represents a participant, and each column represents a variable, including medication group and weight-loss outcome. Assign numerical codes to represent the four medication groups (e.g., 1, 2, 3, 4).
  2. Check Assumptions:Before conducting the ANOVA, check the assumptions of normality and homogeneity of variances. You can use statistical tests (e.g., Shapiro-Wilk test for normality, Levene's test for homogeneity of variances) or visual inspections (e.g., histograms, Q-Q plots) to assess these assumptions.
  3. Conduct One-way ANOVA:Use statistical software such as R, SPSS, or Python with libraries like scipy.stats or statsmodels to conduct the one-way ANOVA. Input the weight-loss outcome variable as the dependent variable and the medication group variable as the independent variable. The ANOVA will test whether there are statistically significant differences in weight-loss outcomes among the four medication groups.
  4. Post-hoc Analysis (if necessary):If the ANOVA results indicate significant differences among the medication groups, you may want to conduct post-hoc tests to identify which specific groups differ from each other. Common post-hoc tests include Tukey's Honestly Significant Difference (HSD) test, Bonferroni correction, or Dunnett's test.
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Since 1999, the recommended source of allowable error limits or Analytical Performance Standards has been to set limits based on medical need in specific clinical settings.  I have been doing this since before CLIA was published and have attached our 1991 limits as published in an AACC course. Our lab director simply answered the question "How far can a result vary from the QC sample target (eg peer mean) before the doctor would take different action?
Do you know of any shared links, databases or articles that include medical goals?  If not, would this be a good initiative for EFMLQ/IFCC/ADLM?
What do you suggest? Perhaps a survey we could distribute to see what limits doctors use in specified clinical situations?
Thanks for your opinion and please have an AWEsome day!
Zoe
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ok can
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I am interested
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* Reducing the incidence of preclinical nephropathy in patients with type II diabetes and diabetic retinopathy involves comprehensive management strategies, including:
Blood Glucose Control: Tight glycemic control through lifestyle modifications, oral medications, or insulin therapy can slow the progression of nephropathy.
Blood Pressure Management: Controlling hypertension through medications, dietary changes, and lifestyle modifications is crucial in preventing kidney damage.
Renin-Angiotensin-Aldosterone System (RAAS) Inhibitors: Medications like ACE inhibitors or angiotensin II receptor blockers (ARBs) have shown to be effective in slowing the progression of diabetic nephropathy.
Lipid Management: Managing dyslipidemia with statins or other lipid-lowering agents may help reduce the risk of nephropathy progression.
Protein Restriction: Dietary protein restriction may be recommended to reduce the workload on the kidneys and slow the progression of nephropathy.
Regular Monitoring: Routine monitoring of kidney function through urine albumin excretion, serum creatinine, and estimated glomerular filtration rate (eGFR) can help detect early signs of nephropathy and guide treatment.
Lifestyle Modifications: Encouraging healthy lifestyle habits such as regular exercise, smoking cessation, and maintaining a healthy weight can contribute to overall kidney health.
Annual Eye Examinations: Regular eye exams can detect diabetic retinopathy early, allowing for prompt treatment and potentially preventing further kidney complications.
Education and Support: Providing patients with education about diabetes management, including the importance of medication adherence, regular check-ups, and lifestyle modifications, can empower them to take control of their health and reduce the risk of complications.
Multidisciplinary Care: Collaborative care involving endocrinologists, nephrologists, ophthalmologists, dietitians, and other healthcare professionals can provide comprehensive support for patients with diabetes and diabetic complications.
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I will and it will give you more informations about the disease....
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I am Dr. Clara Eleazar from University of Nigeria and a Medical Microbiologist
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Welcome Dr Clara
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due to different patients being resistant to usual medications being prescribed to others, how can antibiogram be of help in determining the perfect antibiotic to be prescribed to the patient because antibiotics varies in treatment and dosage.
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Antibiograms play a crucial role in helping medical professionals optimize antibiotic prescribing by providing valuable information on antibiotic susceptibility patterns. By using this information to guide empirical therapy, tailor treatment, prevent overuse and misuse of antibiotics, support antimicrobial stewardship efforts, and monitor resistance trends, healthcare providers can effectively combat antibiotic resistance while ensuring optimal patient care.
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I am looking for a distinguished and experienced researcher in the field of geriatric mental health to serve as a peer reviewer for an article on depression among the elderly. This article is slated for submission to Cureus, a prestigious journal recognized for its commitment to publishing high-quality research in various medical disciplines.
Regards,
Amrit
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Happy to help, if you find it useful!
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As in title
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Articles tend to be more formal such as the following:
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Hello everyone,
I am currently working on a project related to medical imaging and deep learning. Part of my work involves illustrating these complex concepts through diagrams and figures. However, I'm having a hard time finding a software tool that suits my specific needs.
Ideally, I am looking for a program that allows for high-quality rendering of medical imaging data, can incorporate elements of deep learning such as neural network architectures, and has an intuitive interface that's easy to navigate. It would also be great if the software has a good range of customization options to adjust the look and feel of the diagrams to my preference.
Could anyone suggest software tools they have had a positive experience with in this context? Any guidance on learning resources or tutorials for the suggested software would be greatly appreciated as well.
Thank you in advance for your assistance and suggestions.
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For rendering and processing of medical images I can recommend to use VTK and ITK libraries. And, also, you can use Paraview and Slicer3d application for visualisation and planning purposes (both applications use VTK).
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AI and machine learning (ML) are being utilized to tackle complicated issues and increase efficiency in a variety of sectors. Here are some instances of how AI and ML are being applied in various industries:
- AI and machine learning are being utilized in healthcare to evaluate medical pictures, aid with diagnosis, and build individualized treatment regimens. They are also used to identify people who are at risk of developing certain diseases and to create novel medications.
- Finance: AI and ML are being used to detect and prevent fraud, evaluate financial markets, and generate predictions about market movements. They are also utilized to deliver customized financial advice and to automate a variety of typical financial duties.
- Retail: Artificial intelligence and machine learning are being used to optimize prices and inventory, customize suggestions, and increase supply chain efficiency. They are also utilized to assist merchants in better understanding their clients and improving the online purchasing experience.
- Manufacturing: Artificial intelligence and machine learning are being utilized to streamline manufacturing processes, increase quality control, and minimize downtime. They are also used to forecast equipment breakdown, allowing maintenance to be arranged ahead of time, and reducing downtime and expenses.
- Transportation: Artificial intelligence and machine learning are being utilized to streamline logistics, route planning, and traffic control, boosting overall efficiency and lowering costs. They are also used to monitor the fleet and forecast repair needs, resulting in less downtime and lower expenses.
- AI and machine learning are being utilized in agriculture for precision farming, crop monitoring, and weather forecasting. They also aid in the optimization of irrigation and fertilization, the reduction of pesticide usage, and the improvement of agricultural yields.
In general, AI and ML may aid in the automation of repetitive operations, the processing of vast volumes of data, and the making of predictions and choices. This can result in increased efficiency, cost savings, and fresh insights in a variety of industries.
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Computers make mistakes and AI will make things worse — the law must recognize that
A tragic scandal at the UK Post Office highlights the need for legal change, especially as organizations embrace artificial intelligence to enhance decision-making...
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I looked into my paper this morning and saw references to mental illness which even 50 years ago would not have been there. Nor would these unproven reflections on human behaviour appeared in novels or articles. I will here raise the likely position that we are being brainwashed by the medical profession in tandem with the drug companies. My investigations, through clients and reading, indicates that psychotropic drugs are dangerous and always have been. Claims of mental health in lieu of misunderstood behaviour, life stresses, have grown alongside the development of drugs and diagnosis which reflect each new drug invented or simply repackaged by the drug companies.
We have seen the multifarious affects of Russian propaganda in Russia and the world (strangely effective in the USA, no matter the warnings), establishing viewpoints and changing history, affecting attitudes, so why cannot the West be equally susceptible to propaganda-especially one arriving from an authoritative source (medical profession) which we fail to see?
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Mental health is the absence of chronified moods in an individual; the chronification of certain moods can lead to pathological mental attitudes.
The treatment of chronifying mental pathologies by drug prescription is suspicious to me, although in international congresses of psychiatry, your contributions are generally only noticed when you wear the offical P (prescription) badge.
With respect to system affinity, I can no more observe a significant difference between the propaganda of the great players.
-----------
The people will believe what the media tells them they believe.
George Orwell
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..
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Dear Doctor
"AI-powered medical imaging is revolutionizing the field of healthcare by helping doctors provide more accurate, efficient, and personalized diagnosis and treatment options for their patients. With the help of deep learning algorithms, medical imaging technology now enables medical practitioners to identify abnormalities and detect diseases with a higher level of precision and speed than ever before. This has contributed to significant improvements in the accuracy of diagnosis, the efficiency of treatment, and the overall quality of patient care.
In simple words, medical imaging refers to several different technologies that are used to view the human body in order to diagnose, monitor or treat medical conditions. It mainly involves non-invasive visualization techniques for medical personnel to identify injuries, diagnose diseases or chronic conditions.
The application of AI analysis to medical imaging supports healthcare professionals to identify problems areas or details that may be missed by the human eye. For instance, AI-powered medical imaging can analyze data points in a medical report to distinguish a disease (from a healthy part) and signals (from noise)."
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This question refers to biophysics.
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Here's attached, a small amount of information for the discussion, attached as PDF. Thanks for your time. Hope this helps
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Looking for some project ideas using deep/shallow learning for my Masters. Would like to know if there any research gaps, could be taken on medical imaging or etc.
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Thanks a lot Stabak Roy for your suggestions.
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My medical students are asking what are the relevant medical apps to learn more about the subjects.
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The British Medical Association has listed the must have apps for medical students. You could check it out. https://www.bma.org.uk/media/4152/bma-10-must-have-apps-for-medical-students-may-21.pdf
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I'm a PhD candidate at the University of Groningen and I'm doing a systematic review using RevMan. I am researching different doses of a medication compared to the control. When I have 2 intervention groups (e.g. medication A 20mg and medication A 40mg) and only 1 control group (placebo), is it correct to separate the different doses into subgroups within the meta-analysis? For example, I want to do a meta-analysis but with subgroups: medication A 20mg x control and medication A40mg control. In this model, at the end of the meta-analysis there is a total of all the studies. However, the total number of patients in the control group is not correct because I have to add twice the total number of the control group. Is this correct? Is there any other alternative?
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Hi Thiago,
If both the 20mg and 40mg effect sizes are measured with respect to the same control group, and thus originate from the same study, I would not perform a subgroup analysis in a standard meta-analysis framework. I'll refer to Chapter 10 of the following book:
"Statistical independence is one of the core assumptions when we pool effect sizes in a meta-analysis. If there is a dependency between effect sizes (i.e. effect sizes are correlated), this can artificially reduce heterogeneity and thus lead to false-positive results."
If the estimates for 20mg and 40mg come from the same study, the estimates are likely correlated, which would lead to a violation of the independence assumption.
If you are still interested in performing a subgroup analysis, you could incorporate it into a multilevel meta-analysis with medication dose (20 mg vs 40mg) as one of the explanatory variables. If you look at equation (10.8) in the book chapter I referred to earlier, you see that a multilevel meta-analysis incorporates a second random-effect: one to account for clustering of effect sizes within the same study. Statistically, this would be the correct way to pool your correlated effect sizes (if you insist to combine them).
Hope this helps!
Kind regards,
Michael
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Is it obvious that VR can help medical education? Yes.
Then why are so many academic institutions resistant to implement this technology?
I would like to personally extend an offer to demonstrate hands on to any medical school interested and give a live demo opportunity to anyone in this sphere to learn about this technology.
I will travel anywhere in the world to promote this know how. It’s a rising tides float all boats equation. The VR community is in its diapers stage.
lets collaborate! Please see our progress on www.vral.ca and email me hmaresky@vral.ca
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Virtual reality can change education
This publication underscores the significance of immersive technologies in medical education.
Read more:
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In a recent judgment SCDRC, U.P passed following orders:
“The copy of this judgement be sent to National Medical Commission for taking action to seize the said nursing home and also to cancel all the medical degrees of O.P.No.3 (now retd.) and the bar him from private practice throughout his life.”
Whether Consumer Court can order to NMC defining penalty to be imposed?
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"throughout his life" - is that a euphemism for execution?
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  • Which is your favourite field of Medicine and why?
  • In which Medical field do you work?
  • What is your field of interest?
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Minha paixão é a psicanálise. na medicina a preferência é a psiquiatria, mas, minha preferência, hoje, é a neurociência, que comprova que o vício na dopamina provoca o vício no amor, assim como no cigarro, na cocaína, nas redes sociais, na bebida. ou seja, primeiro me abracei e gostei, segundo, por causa da produção de dopamina, me viciei naquela sensação prazerosa, o que serve também para o álcool, cocaína, cigarro, etc. A partir disto, está se produzindo, em 2023, no Brasil, uma vacina que em desligando este centro de prazer viciante, poderá cortar o desejo pela cocaína e o destruidor krac.
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My field of study is Doctor of Management. I currently work in the medical field as a medical records specialist. I need help coming up with a topic to write on. Any suggestions and or ideas are greatly appreciated.
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I would like to know if there is any connection with hormonal changes that can trigger mental health in HIV sufferers after receiving medication or face physical stigma in the society and if this can be linked to mental health as well.
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“We now have the tools and knowledge to end the HIV/AIDS pandemic as a threat to public health — and to do so by 2030,” write John Nkengasong, Mike Reid, Ingrid Katz at the US AIDS-relief programme PEPFAR. The goal: to reach the ‘95-95-95’ targets of at least 95% of people living with HIV knowing their status; at least 95% of those people being on life-saving antiretroviral therapy; and at least 95% of those people having an undetectable viral load. To get there, argue the authors, will require the use of behavioral-science approaches to reach populations that are most in need...
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Are there methods to evaluate studies using medical data?
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I am NOT a doctor. With the help of AI, this info is collected. Hope it helps you.
Yes, there are several scales, checklists, and other methods available to assess the quality and transparency of research that utilizes patient data, including imaging data. These tools aim to evaluate various aspects of research methodology, data reporting, and transparency. Here are a few examples:
1. STARD (Standards for Reporting Diagnostic Accuracy Studies): STARD is a checklist designed to assess the reporting quality of diagnostic accuracy studies. While it is not specific to patient data or imaging, it can be applicable to studies that use imaging data for diagnostic purposes.
2. QUADAS (Quality Assessment of Diagnostic Accuracy Studies): QUADAS is a tool specifically developed to assess the quality of diagnostic accuracy studies. It focuses on the methodological aspects of the study design, patient selection, index test, reference standard, and flow of participants.
3. CONSORT (Consolidated Standards of Reporting Trials): CONSORT is a widely used guideline for reporting randomized controlled trials (RCTs). While not specific to patient data or imaging, it provides a comprehensive checklist for assessing the transparency and quality of trial reporting.
4. TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis): TRIPOD is a guideline specifically designed for reporting prediction model studies. It provides a checklist for assessing the transparency, quality, and risk of bias in studies that develop or validate prediction models using patient data.
5. QIBA (Quantitative Imaging Biomarkers Alliance): QIBA, an initiative by the Radiological Society of North America (RSNA), aims to improve the reliability of quantitative imaging biomarkers. While not strictly a checklist, QIBA provides a framework and guidelines for assessing and improving the quality and standardization of quantitative imaging.
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In a clinical trial setting, medication adherence is easy to assess. However, the same cannot be said for the real-world situation, where patient adherence becomes a behavioral construct. Digital and technological measures such as reminders via SMS, emails, and wearable devices have attempted to improve adherence but are subject to the willingness of the patient to comply. What are the feasible assessment criteria that can be used by payors and reimbursement authorities in the subject area of medication adherence to encourage innovation from industry?
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it raises complex considerations within the healthcare landscape. Recognizing the critical role of medication adherence in achieving positive health outcomes, reimbursement for adherence interventions becomes a pivotal aspect of incentivizing healthcare providers to prioritize and implement such measures. To justify reimbursement, assessment criteria should encompass both short-term and long-term indicators of success. Short-term metrics may include improved medication adherence rates, reduced hospital readmissions, and enhanced patient engagement. Long-term measurements should focus on sustained health improvements, decreased healthcare costs, and averted complications due to improved adherence. Additionally, the integration of patient-reported outcomes and feedback could provide valuable insights into the effectiveness of interventions from the patient's perspective. Ultimately, a comprehensive reimbursement model for medication adherence interventions should strike a balance between incentivizing healthcare providers to adopt these measures and ensuring tangible improvements in patient health and healthcare system efficiency.
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How can deep learning models be optimized to improve the early detection of various cancer types using medical imaging data?
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Dear Tajinder,
There are new technologies including AI methods like CNN and ANN that recognise the breast cancer in early stage. These methods learn from imaging data like mammograms and then it differentiates the image according to the fact it belongs to group of benign or malignant breast cancers. Optimisation that can be made is getting the biggest number of input data for making it even more precise. I hope I helped, try to look for more articles about this topic. It is very popular among many researchers who are interested in advanced technologies in medicine.
Sincerely,
Amar, MSc in MLT
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  • In the realm of medical education, does a medical educator exclusively operate within the domain of Medical Education, or is their role flexible enough to prioritize representing a specific discipline of basic/clinical sciences or medicine – and then catering to its needs as an educator.
  • What are the international guidelines and practices?
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We need to move forward with health training, recognizing the need to broaden the perspective of future professionals, so that they are properly qualified to meet the needs of the people who seek them.
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médicos mientras en Inglés no suelen utilizar "medic" por "medical doctor." Ahora, en El Mundo de Hablar Inglés, docentes universitarios tienen disputa con doctores de la medicina sobre quien possea el derecho de llamarse doctor éticamente.
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Sorry, I cannot answer this question. They substantial variations in the employment of this title in medical context. The reasons are based on psst point to cultural as well as academic divisions.
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can some one provide link to medical summary dataset (large) which is unstructured ?
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Dear Shylaja Kr ,
Unstructured data is immensely valuable to healthcare. “If you approach it from a high level, clinical notes are a glimpse into the physician’s brain,” says Brian Laberge, solution engineer at software and solutions provider Wolters Kluwer.
Regards,
Shafagat
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I need the information for my upcoming review articles.
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The tensile strength, yield strength, elastic modulus, corrosion, creep, and hardness are some of the most important properties of biomaterials that should be carefully studied and evaluated before implantation.
Biomaterials play an integral role in medicine today—restoring function and facilitating healing for people after injury or disease.
Biomaterials may be natural or synthetic and are used in medical applications to support, enhance, or replace damaged tissue or a biological function.
The most important requirements for a good biomaterial are good biocompatibility, higher resistance to corrosion and wear and better osseointegration.
Biomaterials must meet several criteria, such as excellent biocompatibility, adequate mechanical compatibility, high corrosion and wear resistance
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Natural biomaterials are materials extracted from living organisms or their by-products. These materials have many advantages, such as non-toxicity, biocompatibility, and biodegradability, the use of natural biomaterials has steadily increased due to the high demand for medical applications. These materials, including collagen, chitosan, and alginate, have been successfully used as hydrogels, scaffolds, matrices, and implants in tissue engineering, wound management, drug delivery, and nanotechnology. Due to their biocompatible and biodegradable properties, the use of natural biomaterials may lead to cost savings in healthcare because they can be safely absorbed by the body without additional surgeries. However, biodegradability is also a disadvantage of natural materials because they may not be as durable as traditional synthetic materials and can easily suffer from wear and tear due to intensive interaction with the body. Despite these limitations, the biocompatibility and non-toxicity of natural biomaterials can outweigh their biodegradability disadvantages in many medical applications. Therefore, more studies are needed to investigate the effect of biomaterial treatment and to develop methods to control the degradation rate of these materials.
(Citation from the above link).
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  1. Worldwide some leeches are used as medical purpose for human beings. So my question any update, Which earthworms are used as medical purpose for human beings?
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In ayurved science leeches are being used since more than 5000 years for blood letting, blood purification, wound healing, skin diseases, pain relief, effusion, vericos ulcers, vericos veins etc. Earthworms are not used as medical treatment liin medical treatment like leeches.
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What is the probability that the first step in moving toward a more inclusive and positive sum game of academia going to be through medical doctor training? No one wants to die, so, respectfully, medicine is probably (almost definitely) the most essential profession. Thus, how do we deal with shortages of medical doctors?
My full opinion:
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reading,learing,practise
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To clarify the ruling of Sharia and law on this matter.
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Good question
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I am a medical doctor and I do not have any experience in IHC, only toluidine blue and HE staining. Can you please share a protocol with me?
Thank you in advance
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Thank you, Alberto. I will try it ASAP. I was more curious about details and caveats though. Like the type of unmasking buffer or if I should use a rabbit serum
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I am doing research in Bio medical signal, can any one help in regard of Borderline ECG , Their Specification in respect to P Peak, R Peak, T Peak , ST Segment , PR Interval and PR Segment .
Reference value for Normal and Abnormal is known But how to fix the Borderline ECG . Please help in this regards
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You are welcome!
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any body can share the most suitable question need to ask about the impact of certain program (eg. Islamic medication)on daily life?
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Dear brother Omer: I hope you drop this title ,for to my understanding it is not useful for today's life, for many reasons. Rukia, for example needs a bleif in Allah and Islam, you can't cure my headache by Rukia better than aspirin or praracitol,so, no benefits are expected, please do so. Thank you so much, and wish you every success in another valid Islamic topic.
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Humanoid robots are making inroads into the healthcare and medical sectors. Can you delve into the specific applications and advantages of using humanoid robots in these fields? How are they assisting medical professionals, aiding patients, and potentially transforming the way healthcare services are delivered?
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Applications and Advantages of Humanoid Robots in Healthcare:
  1. Assistive Care: Humanoid robots can assist the elderly or those with disabilities in daily activities, ensuring their safety and providing companionship.
  2. Surgery Assistance: They can aid surgeons in precise operations, especially in minimally invasive procedures, increasing accuracy and reducing patient recovery time.
  3. Rehabilitation: Robots aid in physical therapy, helping patients recover motor skills after incidents like strokes.
  4. Drug Delivery & Routine Checks: In hospitals, humanoid robots can distribute medications and conduct regular patient check-ins, minimizing the risk of infections like COVID-19.
  5. Mental Health & Therapy: Robots like PARO have been used as therapeutic tools, especially for dementia patients, to reduce stress and improve mood.
  6. Training & Education: Humanoids can simulate patients for medical training, offering a risk-free environment for medical students to learn.
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The question is related to a medication list, which I have embedded into a table. Current medications are asked at multiple follow-up points; however, I want participants to have the table pre-filled from their last response so they don't have to re-enter everything if there are any medication changes. Is this possible?
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Yes, it is possible to pre-fill a table with a participant's previous responses in follow-up points using various data collection and management tools. The method you choose would depend on the platform or software you are using for your data collection. Here are a few general approaches you could consider:
  1. Online Surveys and Forms Platforms (e.g., Google Forms, Qualtrics): Many online survey platforms allow you to pre-fill fields in a form based on previous responses. You can use logic and scripting to achieve this. For example, you could set up branching logic that checks for the participant's previous response and then fills the table with the previous medication list. This would require some scripting knowledge, and the exact steps would depend on the platform you're using.
  2. Databases and Data Management Systems (e.g., REDCap, Microsoft Access): If you're using a more advanced data management system, you could set up a database where you store participants' medication information. When a participant returns for a follow-up, you can retrieve their previous medication data from the database and pre-fill the table fields.
  3. Custom Software Development: If you have access to software development resources, you could build a custom solution where participants log in to an account, and their previous medication data is stored and retrieved for subsequent visits. This would provide a more tailored and seamless experience.
  4. Spreadsheet Software (e.g., Microsoft Excel): While not the most efficient method, you could potentially manage this manually using spreadsheet software. Each follow-up would be a new row, and you'd copy over the previous medication list for each participant.
  5. Programming and Scripting (e.g., Python, R): If you have programming skills, you could automate this process using programming languages like Python or R. You'd need to read and write data files to store and retrieve previous responses.
Remember, the exact steps and feasibility of these methods depend on the capabilities of the tools you're using and your technical proficiency. If you're not sure how to implement this in your specific context, it might be helpful to consult with someone who has experience with the platform you're using or seek assistance from a data management professional.
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I plan on creating a four-armed RCT investigating the effect of CBT vs. TAU (intervention: IV) on emotional reg scores (scores: DV).
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Dear Mya East
You are doing great research and an outstanding science experiment.
As a medical statistician, my advice to you
Firstly: Consider the repeated measures ANOVA test that requires more than two measurement times
At least one quantitative variable is needed to compare the mean between groups.
If you follow up with patients only before / after,
You do not need to use repeated-measures ANOVA
You can use T-test to check the effectiveness of the treatment by comparing the patient's condition before and after
Or its non-laboratory alternative, Wilcoxon, in case the data is not distributed normally
As for the comparison between the four multiple groups, you can during the same time (In the case of after, for example) the normal ANOVA procedure to compare the condition of patients in different groups, including the control group, if any, after taking the period for treatment
As well as for the case of the groups before the start of the experiment. Through the multiple binary comparisons, you can determine the source of the difference in favor of any of the drug groups.
This requires that the data be normally distributed or the sample size is greater than 30 individuals, If not, then use Kruskal-Wallis's alternative ANOVA test.
Second, don't go too far with more complex models because statistically things are gradual
Start with the basic tests, which will lead you if you do not reach your goal towards the higher-level models
If you’re considering using ANCOVA, it’s important to note that a covariate is a continuous independent variable that is added to an ANOVA model to produce an ANCOVA model. The inclusion of a categorical variable as a covariate in ANCOVA is possible and can be useful in certain situations. For example, if you have a categorical variable that you believe may be related to the dependent variable, you can include it as a covariate in your ANCOVA model.
However, it’s important to keep in mind that the inclusion of a categorical variable as a covariate in ANCOVA can lead to some issues. One issue is that the interpretation of the main effects and interactions in the ANCOVA model can become more complex when a categorical variable is included as a covariate 1. Another issue is that the inclusion of a categorical variable as a covariate in ANCOVA can lead to problems with multicollinearity, which occurs when two or more independent variables are highly correlated with each other.
I hope this helps!
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Within the technological developments associated with artificial intelligence and mobile communication systems applied to healthcare, chatbots represent a trend that is increasing in popularity as an efficient mechanism that promotes interactions between application users for different sectors, since it provides personalized information and allows interactions in time and a capacity to reach millions of people at the same time. From the patient’s perspective, chatbot technologies as representation of natural language processing, along with deep learning and virtual reality, also referred as cognitive services, have been identified as healthcare drivers by their possibility for the creation of great impact applications on medical and preventive health services.
source: FROM THE EDITED VOLUME
Chatbots - The AI-Driven Front-Line Services for Customers https://www.intechopen.com/online-first/86857
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There are several key challenges that chatbot developers will need to address as AI-powered chatbots become more prevalent in the healthcare industry:
Ensuring accuracy of medical information provided - Chatbots will need extensive training and validation to provide sound medical advice aligned with guidelines from healthcare authorities. Wrong information could be dangerous.
Protecting patient privacy - Chatbot conversations will contain highly sensitive patient data that must be safeguarded to the highest standards. Data security and protocols for access will be crucial.
Handling complex health inquiries - While useful for common questions, chatbots may struggle with nuanced patient issues. Seamless handoff to human experts will be important when reaching the limits of chatbot capabilities.
Establishing trust - Patients may be hesitant to rely on chatbot recommendations. Transparency about chatbot capabilities and integration with human oversight can help build user confidence over time.
Regulatory compliance - Strict regulations govern software that dispenses medical advice. Chatbots will need to meet requirements from regulators like the FDA as medical devices/diagnostic tools.
Liability considerations - Defining liability if chatbots err will be challenging. Questions include whether liability rests with developers or the deploying healthcare organization.
Accessibility for all - Chatbots will need inclusive design to serve populations of different age, digital literacy, language proficiency and abilities.
Overall, developing safe, effective and trustworthy AI chatbots for healthcare comes with significant technology, ethical and regulatory challenges. A measured, transparent and patient-centered approach will be important as chatbots increasingly support health decision-making.
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Is there any research or work done on the use of transparent wood in medical equipment such as disposable syringes, gloves or medical marks? Does anybody have any idea?
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Transparent wood could be the window of future and energy _saver in green buildings for more details please check the following attached:
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In order to build real-time applications and services in the field of the Internet of Medical Things (IoMT) and healthcare, which communication protocols do you think would fit? And why? - would like to know your thoughts on this.
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Dear Anatol Badach,
Thanks for sharing these resources, especially the CoAP poster you developed - a very interesting summary of the protocol!
I usually prefer the MQTT protocol because of the offered QoS levels over TCP, however, CoAP is a powerful UDP alternative that might be a good option for healthcare IoT services.
Best of luck!
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I am looking for large data sets of medical imaging, mostly related to neurology. Specifically, a wide array of CT, MRI, diffusion, CTA, PE, and the like. I was wondering if anyone can share some companies they may be aware of that sell such datasets?
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  1. The Cancer Imaging Archive (TCIA): TCIA is a well-known and freely accessible resource that provides a large collection of cancer-related medical images, including CT, MRI, and PET scans.
  2. Radiological Society of North America (RSNA): RSNA offers image datasets, including CT and MRI scans, for research and educational purposes. Some datasets may be available for purchase or access.
  3. Open Access Medical Imaging Repository (OAMIR): OAMIR is a collection of openly accessible medical image datasets that researchers and students can use for various purposes.
  4. Kaggle: Kaggle is a platform that hosts data science competitions, and occasionally, medical image datasets are part of these competitions. You can explore Kaggle's datasets section to find medical imaging datasets.
  5. PhysioNet: While primarily focused on physiological data, PhysioNet also hosts some medical image datasets for research purposes.
  6. DICOM Library: DICOM Library provides a selection of freely available DICOM (Digital Imaging and Communications in Medicine) images for educational purposes.
  7. Medical Image Data Open Resources (MIDORI): MIDORI is an initiative that curates openly accessible medical image datasets.
  8. National Institutes of Health (NIH): NIH and various other research institutions might occasionally release medical image datasets for specific studies or research projects.