Myles Joshua Toledo TanUniversity of St. La Salle | USLS · Department of Natural Sciences
Myles Joshua Toledo Tan
MS MIEEE MInstP AMIMA
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Publications (65)
This article quantitatively presents the relationship between volume of BME publications produced from 1990 to 2019 in the member states of the ASEAN and 12 indicators of overall and physical health. The objective was to show that ASEAN states that recognize BME as an academic and professional discipline have been successful in producing research i...
The integration of generative artificial intelligence (GAI) in education has been met with both excitement and concern. According to a 2023 survey by the World Economic Forum, over 60% of educators in advanced economies are now using some form of artificial intelligence (AI) in their classrooms, a significant increase from just 20% 5 years ago (Wor...
The increasing integration of artificial intelligence (AI) into medical diagnostics necessitates a critical examination of its ethical and practical implications. While the prioritization of diagnostic accuracy, as advocated by Sabuncu et al. (2025), is essential, this approach risks oversimplifying complex socio-ethical issues, including fairness,...
License plate recognition (LPR) involves automated systems that utilize cameras and computer vision to read vehicle license plates. Such plates collected through LPR can then be compared against databases to identify stolen vehicles, uninsured drivers, crime suspects, and more. The LPR system plays a significant role in saving time for institutions...
The widespread dissemination of hate speech, harassment, harmful and sexual content, and violence across websites and media platforms presents substantial challenges and provokes widespread concern among different sectors of society. Governments, educators, and parents are often at odds with media platforms about how to regulate, control, and limit...
Hyper-personalized medicine represents an advanced approach to healthcare, integrating real-time lifestyle, environmental, genetic, and biological data to tailor medical interventions for individual needs. This approach transcends traditional genetic profiling by focusing on the dynamic interplay between personal habits, environmental conditions, a...
This commentary builds on the previously published work titled "Philippine Mental Health Act: Just an Act? A Call to Look Into the Bi-directionality of Mental Health and Economy," which highlighted the reciprocal influence between mental health and economic stability in the Philippines. Expanding on these foundational insights, this paper delves in...
The manuscript, "Enhancing Data Literacy in the Global South Through Culturally Relevant Pedagogy," aligns with the scope of Language, Culture, and Diversity as it addresses the critical need for inclusive and equitable education practices by integrating culturally relevant pedagogy into data literacy initiatives. This work emphasizes the importanc...
Our article, "Who is a Biologist? Engineers’ Perspectives on Integrating Computation and Social Sciences into Biology Education," aligns well with the scope of the Digital Education section. The article emphasizes interdisciplinary approaches to biology education by incorporating computational skills, social sciences, and engineering perspectives—k...
Personalized medicine (PM) promises to transform healthcare by providing treatments tailored to individual genetic, environmental, and lifestyle factors. However, its high costs and infrastructure demands raise concerns about exacerbating health disparities, especially between high-income countries (HICs) and low- and middle-income countries (LMICs...
This commentary builds on the previously published work titled "Philippine Mental Health Act: Just an Act? A Call to Look Into the Bi-directionality of Mental Health and Economy," which highlighted the reciprocal influence between mental health and economic stability in the Philippines. Expanding on these foundational insights, this paper delves in...
Technologies for recognizing facial attributes like race, gender, age, and emotion have several applications, such as surveillance, advertising content, sentiment analysis, and the study of demographic trends and social behaviors. Analyzing demographic characteristics based on images and analyzing facial expressions have several challenges due to t...
The estimation of three abdominal tissue thicknesses , namely subcutaneous fat (SAT), muscle tissue (MT), and visceral fat (VT), was performed using radio frequency (RF) signal measurement and machine learning algorithms. The scattering parameter data were collected from simulations of a planar multilayered model of the human abdomen, with parametr...
This paper examines the role of generative artificial intelligence (GAI) in promoting academic integrity within educational settings. It explores how AI can be ethically integrated into classrooms to enhance learning experiences, foster intrinsic motivation, and support voluntary behavior change among students. By analyzing established ethical fram...
Laparoscopic videos are tools used by surgeons to insert narrow tubes into the abdomen and keep the skin without large incisions. The videos captured by a camera are prone to numerous distortions such as uneven illumination, motion blur, defocus blur, smoke, and noise which have impact on visual quality. Automatic detection and identification of di...
OBJECTIVES/GOALS: This work aims to explore how citizen science serves as a transformative frame work to bridge scientific knowledge, focusing on its potential to enhance transdisciplinary learning in artificial intelligence (AI) biomedical and clinical sciences by facilitating near-peer mentoring. METHODS/STUDY POPULATION: Our group of eight frien...
This work aims to explore how citizen science serves as a transformative framework to bridge scientific knowledge, focusing on its potential to enhance transdisciplinary learning in artificial intelligence (AI) biomedical and clinical sciences by facilitating near-peer mentoring.
This article discusses the importance of incorporating social and ethical knowledge into engineering education through a course in Science, Technology, and Society (STS). With the advent of the Fifth Industrial Revolution, it is crucial for engineers to be aware of societal needs and the Sustainable Development Goals outlined by the United Nations....
Internet has become a main source of information for people in numerous areas. However, internet can be useful or harmful according to types of contents exposed. When the visual sexual and violent contents are available, the danger targets children and youths and causes a damage in their mental health. Consequently, content moderators are required...
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most common infections in humans in low-and-middle-income countries. IPIs affect not only the health status of a country, but also the economic sector. Over the last decade, pattern recognition and image processing techniques have been developed to autom...
Content moderation software was found to automate the reviewing and editing process. Big companies such as Microsoft Azure and Amazon Web Services (AWS) created their own content moderators that can be employed in websites, video sharing platforms, social media, broadcast media, advertising, and e-commerce situations to detect inappropriate visual...
Renal cell carcinoma (RCC) is a common malignant tumor of the adult kidney, with the papillary subtype (pRCC) as the second most frequent. There is a need to improve evaluative criteria for pRCC due to overlapping diagnostic characteristics in RCC subtypes. To create a better prognostic model for pRCC, we proposed an integration of morphologic and...
[This corrects the article DOI: 10.1017/cts.2023.172.].
Renal cell carcinoma (RCC) is a common malignant tumor of the
adult kidney, with the papillary subtype (pRCC) as the second most frequent.
There is a need to improve evaluative criteria for pRCC due to overlapping
diagnostic characteristics in RCC subtypes. To create a better prognostic model
for pRCC, we proposed an integration of morphologic and...
OBJECTIVES/GOALS: Computational pathology is an emerging discipline that resides at the intersection of engineering, computer science, and pathology. There is a growing need to develop innovative pedagogical approaches to train future computational pathologists who have diverse educational backgrounds. METHODS/STUDY POPULATION: Our work proposes an...
Blood cell counting plays a crucial role in clinical diagnosis to evaluate the overall health condition of an individual. Traditionally, blood cells are manually counted using a hemocytometer; however, this task has been found to be time-consuming and error-prone. Recently, machine learning-based approaches have been employed to effectively automat...
Space situational awareness (SSA) system requires recognition of space objects that are varied in sizes, shapes, and types. The space images are challenging because of several factors such as illumination and noise and thus make the recognition task complex. Image fusion is an important area in image processing for various applications including RG...
Space situational awareness (SSA) systems play a significant role in space navigation missions. One of the most essential tasks of this system is to recognize space objects such as spacecrafts and debris for various purposes including active debris removal, on-orbit servicing, and satellite formation. The complexity of object recognition in space i...
This Research Topic focuses on both strengths and weaknesses of social innovation, technological innovation, and health innovation that are increasingly recognized as crucial concepts related to the formulation of responses to the social, health, and environmental challenges. Goals of this Research Topic: (1) to identify and share the best recent p...
IPIs caused by protozoan and helminth parasites are among the most common infections in humans in LMICs. They are regarded as a severe public health concern, as they cause a wide array of potentially detrimental health conditions. Researchers have been developing pattern recognition techniques for the automatic identification of parasite eggs in mi...
Many species have gone extinct as a result of human neglect and various environmental influences. Monitoring these species has proven to be a challenge due to their small population, remote habitats, and evasiveness, among other reasons. Nonetheless, they can be routinely tracked by using CCTV cameras. This project made use of a transfer learning a...
The perceptual quality of video surveillance footage has impacts on
several tasks involved in the surveillance process, such as the detection of
anomalous objects. The videos captured by a camera are prone to various distortions such as noise, smoke, haze, low or uneven illumination, blur, rain, and
compression, which affect visual quality. Automat...
Differentiating white blood cells has been a fundamental part
of medical diagnosis as it allows the assessment of the state of health of
various organ systems in an animal. However, the examination of blood
smears is time-consuming and is dependent on the level of the health
professional’s expertise. With this, automated computer-based systems
have...
Many species have gone extinct as a result of human neglect and various environmental influences. Monitoring these species has proven to be a challenge due to their small population, remote habitats, and evasiveness, among other reasons. Nonetheless, they can be routinely tracked by using CCTV cameras. This project made use of a transfer learning a...
IPIs caused by protozoan and helminth parasites are among the most common infections in humans in LMICs. They are regarded as a severe public health concern, as they cause a wide array of potentially detrimental health conditions. Researchers have been developing pattern recognition techniques for the automatic identification of parasite eggs in mi...
Human detection and activity recognition (HDAR) in videos plays an important role in various real-life applications. Recently, object detection methods have been used to detect humans in videos for subsequent decision-making applications. This paper aims to address the problem of human detection in aerial captured video sequences using a moving cam...
The Visayan warty pig is one of the endemic species of the Philippines that have been listed as "critically endangered." Conservation actions and efforts, such as health assessments, are being carried out to preserve the population. However, there is limited information about the normal hematological and biochemical profile of the species. The stud...
Background: Laparoscopy is a surgery performed in the abdomen without making large incisions in the skin and with the aid of a video camera, resulting in laparoscopic videos. The laparoscopic video is prone to various distortions such as noise, smoke, uneven illumination, defocus blur, and motion blur. One of the main components in the feedback loo...
Diabetes is one of the top ten causes of death among adults worldwide. People with diabetes are prone to suffer from eye disease such as diabetic retinopathy (DR). DR damages the blood vessels in the retina and can result in vision loss. DR grading is an essential step to take to help in the early diagnosis and in the effective treatment thereof, a...
From a public health perspective, this opinion article discusses the necessity to push for telehealth in the Philippines as a mode of healthcare delivery, based on lessons from other Southeast Asian countries. With the recent pandemic, the Philippines has witnessed the potential of telehealth to cater to the healthcare needs of the public. Teleheal...
Laparoscopic surgery is a surgical procedure performed by inserting narrow tubes into
the abdomen without making large incisions in the skin. It is done with the aid of a video camera. Laparoscopic videos are affected by various distortions during surgery which lead to loss of visual quality. Identification of these distortions is the primary requ...
From a public health perspective, this opinion article discusses why it is necessary to integrate Artificial Intelligence (AI) in the mental health practices in the Philippines. The use of AI systems is an optimum solution to the rising demand for more accessible, cost-efficient, and inclusive healthcare. With the recent developments, the Philippin...
This opinion article discusses, from a pharmacological perspective, why it is necessary to advance research on drug delivery systems for tuberculosis treatment using carapace wastes in the Philippines. This may serve as a gateway to the development of advanced and technologically feasible pharmaceutical formulations for TB on a national and global...
This article calls for an investigation into the potential bi-directionality between mental health and economics, particularly in the Philippines. Here, we talk about the three themes that contribute to misbeliefs about mental health in Philippine culture and the current state of mental health in the Philippines, including established mental and pu...
Humans have long studied the ecological symbiosis of organisms primarily from an anthropocentric perspective. Among these investigations are the symbiosis of bacteria and arthropods. Studies conducted in relation to this usually lean toward subjects of pathogen transmission, cure, and prevention. But Bourtzis and Zchori-Fein, editors of Manipulativ...
Inappropriate visual content on the internet has spread everywhere, and thus children are exposed unintentionally to sexually explicit visual content. Animated cartoon movies sometimes have sensitive content such as pornography and sex. Usually, video sharing platforms take children’s e-safety into consideration through manual censorship, which is...
In the above article
[1]
, the authors failed to mention in the Acknowledgment section that both Jamie Ledesma Fermin and Myles Joshua Toledo Tan have contributed equally to the work and share the first authorship.
p> Background: This article quantitatively presents the relationship between volume of BME publications produced from 1990 to 2019 in the member states of the ASEAN and 12 indicators of overall and physical health. The objective was to show that ASEAN states that recognize BME as an academic and professional discipline have been successful in produ...
p> Background: This article quantitatively presents the relationship between volume of BME publications produced from 1990 to 2019 in the member states of the ASEAN and 12 indicators of overall and physical health. The objective was to show that ASEAN states that recognize BME as an academic and professional discipline have been successful in produ...
p> Background: This article quantitatively presents the relationship between volume of BME publications produced from 1990 to 2019 in the member states of the ASEAN and 12 indicators of overall and physical health. The objective was to show that ASEAN states that recognize BME as an academic and professional discipline have been successful in produ...
Abstract
This article quantitatively presents the relationship that exists between research endeavors in BME, which was measured in terms of the volume of publications produced in the field of BME from 1990 to 2019 in the 10 member states of the ASEAN, and 12 indicators of the overall and physical health of populations (†) — GDP per capita, HDI v...
As the world's population grows, so does the amount of generated waste which continues to be an issue being faced around the world. Waste segregation is an effective way to lessen waste that could go to landfills while increasing the amount of recyclable materials. In this paper, a segregation system was developed using trained optical and material...
Photodynamic therapy (PDT) and gene delivery have both been used to target both cancer cells and tumor-associated macrophages (TAMs). Given the complex nature of tumor tissue, there could be merit in combining these strategies simultaneously. In this study, we developed a bimodal targeting approach to both cancer cells and macrophages, employing ma...
Antigen presenting cell (APC) gene delivery is a promising avenue for modulating immunological outcomes towards a desired state. Recently, our group developed a delivery methodology to elicit targeted and elevated levels of APC-mediated gene delivery. During these initial studies, we observed paradigm contradicting structure-function relationships...
Questions
Questions (9)
Our new article explores how generative AI, when ethically implemented, can support educational integrity. By aligning AI with educational theories like constructivism and Self-Determination Theory (SDT), we argue that AI can promote personalized, meaningful learning and foster student autonomy and intrinsic motivation. Key ethical considerations are highlighted, including the need for transparency, respect for privacy, and fairness to ensure AI empowers students while preserving trust and data integrity. These principles create a foundation for using AI in ways that support, rather than undermine, academic honesty. For educators, this framework offers insights into reshaping assessment and learning practices responsibly in the AI era.
We invite you to read our article to explore these points in depth and learn how AI might become a valuable tool in fostering integrity-driven education.
Key Points and Discussion Prompts:
- Interactive Simulations and Constructivism: AI tools can align with constructivist learning by providing interactive simulations, such as timelines that allow students to explore historical events. Prompt: How might interactive AI simulations enhance students' critical engagement with complex topics, such as history or science?
- Self-Determination Theory and Autonomy: The article suggests that AI can boost intrinsic motivation by enhancing students' autonomy in learning. Prompt: How can educators ensure that AI tools genuinely increase students’ autonomy without making learning too self-directed or unstructured?
- Authentic Assessments: AI can support more authentic assessments beyond traditional testing, such as project-based assignments and real-world problem-solving tasks. Prompt: What challenges might educators face in implementing AI-based authentic assessments, and how could these be addressed?
- Transparency and Trust: Ethical AI use in classrooms requires transparency, especially in how AI data is managed. Prompt: What would transparency look like in AI-powered classrooms, and how can it build trust among students and educators?
- Adaptive Feedback for Skill-Building: AI provides adaptive feedback that can build competence in skills like writing by offering personalized guidance on grammar and style. Prompt: How could adaptive feedback through AI be integrated into traditional teaching to support growth in skills like writing and critical analysis?
Below are the links to the paper on ResearchGate and Frontiers, respectively:
OR
I am new to spatial transcriptomics and am exploring data sets. Can someone walk me through what's contained in the R Object (Robj) files that I have?
We are probably all aware by now that artificial intelligence will disrupt virtually every single industry globally. It will eliminate millions of old jobs and create millions of new ones. Memorization, multiple-choice testing, or rote work will no longer be relevant to these new jobs. Even jobs in the service sector that traditionally need the "human touch," like nursing and teaching will be affected in one way or another.
Unfortunately, the developing world will probably make attempts to adhere to "tradition" and resist change. How can we democratize technology so that students gain the data and computer literacy needed to succeed in the job market of the future despite this resistance?
I currently use .csv files to work with pandas dataframes and perform UMAP analyses and I would like to use Scanpy moving forward. Can anyone help me with converting .csv files into Anndata files for Scanpy?
The Philippines ranked last among 58 countries in math and science according to the Trends in International Mathematics and Science Study (TIMSS) 2019 [See more here: https://tinyurl.com/2v68v2pe].
Moreover, the Philippines also ranked last among 79 countries in reading comprehension according to the 2018 Program for International Student Assessment (PISA). And despite English being one of the country's two official languages, the Philippines fell from the 20th to the 27th spot in terms of the 2020 English Proficiency Index (EPI) [See more here: https://tinyurl.com/ycktxnae].
Looking at the numbers, I will argue that there clearly is a crisis in education in our country. And while the problem is probably systemic and deep-rooted, what can an individual or perhaps an NGO do to begin to contribute to, at least, the easing of the situation?
It has been over a year since global lockdowns began hampering development in a multitude of sectors and industries. Let's start a discussion and hopefully, learn from each other! Could you tell me:
1. Where you're from;
2. Your areas of research;
3. How your research was before the pandemic;
4. How the conduct of research has changed over the past year or so;
5. Any benefits that arose from the experience;
6. Lessons learned.
Because of the COVID-19 pandemic, many academic conferences that we anticipate annually to meet colleagues and share ideas have been moved online. Do you feel that these online conferences offer just as much value as face-to-face conferences? If not, what could we do to safely return to the conference halls and learn from each other anew?