
Georgios Gkoutos- PhD
- Chair at University of Birmingham
Georgios Gkoutos
- PhD
- Chair at University of Birmingham
About
351
Publications
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Introduction
Current institution
Additional affiliations
January 2008 - August 2012
Education
February 1998 - February 2002

Independent Researcher
Field of study
- Bioinformatics
Publications
Publications (351)
Background
Fibrosis is a common complication in Crohn’s disease (CD), often leading to intestinal strictures. This study aims to explore the transcriptomic signature of fibrostenotic ileal CD for a comprehensive characterization of biological and cellular mechanisms underlying intestinal fibrosis.
Methods
Nine CD patients undergoing surgery for fi...
BACKGROUND
In patients with hypertrophic cardiomyopathy, the prognostic value of myocardial T1 and extracellular volume fraction for adverse cardiovascular events has not been well defined.
METHODS
A total of 663 consecutive participants with hypertrophic cardiomyopathy who underwent 3T cardiovascular magnetic resonance were recruited. The follow-...
Aim
The EarLy Surveillance for Autoimmune (ELSA) study aims to explore the feasibility and acceptability of UK paediatric general population screening for type 1 diabetes.
Methods
We aim to screen 20,000 children aged 3–13 years for islet‐specific autoantibodies through dried blood spot sample collection at home, hospital or community settings. Ch...
Background
Colorectal cancer (CRC) is any cancer that starts in the colon or the rectum and presents a significant health concern. It is the third most diagnosed and the second deadliest cancer, with an estimated 153,020 new cases and 52,550 deaths in 2023. The severity of colon cancer may be attributed to its ability to avoid the host immune syste...
Deep phenotyping describes the use of standardised terminologies to create comprehensive phenotypic descriptions of biomedical phenomena. These characterisations facilitate secondary analysis, evidence synthesis, and practitioner awareness, thereby guiding patient care. The vast majority of this knowledge is derived from sources that describe an ac...
Aims
Reduced left atrial PITX2 is associated with atrial cardiomyopathy and atrial fibrillation (AF). PITX2 is restricted to left atrial cardiomyocytes (aCMs) in the adult heart. The links between PITX2 deficiency, atrial cardiomyopathy, and AF are not fully understood.
Methods and results
To identify mechanisms linking PITX2 deficiency to AF, we...
Introduction: Increasing numbers of patients with advanced organ disease are being considered for bariatric and metabolic surgery (BMS). There is no prospective study on the safety of BMS in these patients. This study aimed to capture outcomes for patients with advanced cardiac, renal, or liver disease undergoing BMS. Materials and methods: This wa...
Consumer-grade wearable technology has the potential to support clinical research and patient management. Here, we report results from the RATE-AF trial wearables study, which was designed to compare heart rate in older, multimorbid patients with permanent atrial fibrillation and heart failure who were randomized to treatment with either digoxin or...
Introduction: Increasing numbers of patients with advanced organ disease are being considered for bariatric and metabolic surgery (BMS). There is no prospective study on the safety of BMS in these patients. This study aimed to capture outcomes for patients with advanced cardiac, renal, or liver disease undergoing BMS. Materials and methods: This wa...
Objective: This study aimed to assess 30-day morbidity and mortality rates following cholecystectomy for benign gallbladder disease and identify the factors associated with complications.
Summary background data: Although cholecystectomy is common for benign gallbladder disease, there is a gap in the knowledge of the current practice and variation...
There is little international data on morbidity and mortality of surgery for perforated peptic ulcer (PPU). This study aimed to understand the global 30-day morbidity and mortality of patients undergoing surgery for PPU and to identify variables associated with these.
We performed an international study of adults (≥ 18 years) who underwent surgery...
Objective
To enable reproducible research at scale by creating a platform that enables health data users to find, access, curate, and re-use electronic health record phenotyping algorithms.
Materials and Methods
We undertook a structured approach to identifying requirements for a phenotype algorithm platform by engaging with key stakeholders. User...
Background
No robust data are available on the safety of primary bariatric and metabolic surgery (BMS) alone compared to primary BMS combined with other procedures.
Objectives
The objective of this study is to collect a 30-day mortality and morbidity of primary BMS combined with cholecystectomy, ventral hernia repair, or hiatal hernia repair.
Set...
Fecal metabolites effectively discriminate inflammatory bowel disease (IBD) and show differential associations with diet. Metabolomics and AI-based models, including explainable AI (XAI), play crucial roles in understanding IBD. Using datasets from the UK Biobank and the Human Microbiome Project Phase II IBD Multi’omics Database (HMP2 IBDMDB), this...
Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease that typically manifests late patient presentation and poor outcomes. Furthermore, PDAC recurrence is a common challenge. Distinct patterns of PDAC recurrence have been associated with differential activation of immune pathway-related genes and specific inflammatory responses in their tumo...
Introduction
The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF).
Methods
This paper aimed to quantify LVEF automatically and accurately with the proposed pipeline method based on deep neural networks and ensemble learning. Within the...
Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers. Oversampling is a common method used to balance classes, allowing for better generalization of the training data. More naive approaches can introduce other biases into the data,...
Background
The prognostic value of left ventricular (LV) entropy in hypertrophic cardiomyopathy (HCM) is unclear.
Objectives
This study aimed to assess the prognostic value of LV entropy from T1 mapping in HCM.
Methods
A total of 748 participants with HCM, who underwent cardiovascular magnetic resonance (CMR), were consecutively enrolled. LV entr...
Objective: This study aimed to assess 30-day morbidity and mortality rates following cholecystectomy for benign gallbladder disease and identify the factors associated with complications.
Summary background data: Although cholecystectomy is common for benign gallbladder disease, there is a gap in the knowledge of the current practice and variation...
Background and Aims
This proof-of-concept study sought to evaluate changes in heart rate (HR) obtained from a consumer wearable device and compare against implanted loop recorder (ILR)-detected recurrence of atrial fibrillation (AF) and atrial tachycardia (AT) after AF ablation.
Methods
REMOTE-AF (NCT05037136) was a prospectively designed sub stud...
Androgenic anabolic steroids (AAS) are commonly abused by young men. Male sex and increased AAS levels are associated with earlier and more severe manifestation of common cardiac conditions, such as atrial fibrillation, and rare ones, such as arrhythmogenic right ventricular cardiomyopathy (ARVC). Clinical observations suggest a potential atrial in...
Introduction: Increasing numbers of patients with advanced organ disease are being considered for bariatric and metabolic surgery (BMS). There is no prospective study on the safety of BMS in these patients. This study aimed to capture outcomes for patients with advanced cardiac, renal, or liver disease undergoing BMS. Materials and methods: This wa...
Introduction: Increasing numbers of patients with advanced organ disease are being considered for bariatric and metabolic surgery (BMS). There is no prospective study on the safety of BMS in these patients. This study aimed to capture outcomes for patients with advanced cardiac, renal, or liver disease undergoing BMS. Materials and methods: This wa...
Introduction
Adaptive mutagenesis observed in colorectal cancer (CRC) cells upon exposure to EGFR inhibitors contributes to the development of resistance and recurrence. Multiple investigations have indicated a parallel between cancer cells and bacteria in terms of exhibiting adaptive mutagenesis. This phenomenon entails a transient and coordinated...
Background
Fibrosis is a common complication in Crohn’s disease (CD), often leading to intestinal strictures that are refractory to available biologic drugs and require surgery. Addressing this complication remains a significant unmet need. This study aims to explore the transcriptomic signature of fibrostenotic ileal CD to identify novel therapeut...
Background
Intestinal stricture is a severe and common complication of Crohn’s disease (CD). Current therapies offer limited success and surgery is often needed. Smooth muscle hyperplasia and hypertrophy play a key role in CD stricture development. This study explores the transcriptomic features of fibrostenotic CD, focusing on the endothelial cont...
Background: Glycated haemoglobin (HbA1c) measurement is used for diagnosis, management and remission of type 2 diabetes (T2DM), with measurements comparable worldwide and the World Health Organization listing medical conditions that affect its accuracy. Admission glucose is in the ‘diabetes’ range in 5% of emergency hospital admissions without prio...
In mediaeval Europe, the term “commons” described the way that communities managed land that was held “in common” and provided a clear set of rules for how this “common land” was used and developed by, and for, the community. Similarly, as we move towards an increasingly knowledge-based society where data is the new oil, new approaches to sharing a...
Early detection of atrial fibrillation (AF) enables initiation of anticoagulation and early rhythm control therapy to reduce stroke, cardiovascular death, and heart failure. In a cross-sectional, observational study, we aimed to identify a combination of circulating biomolecules reflecting different biological processes to detect prevalent AF in pa...
Introduction
Increasing numbers of patients with advanced organ disease are being considered for Bariatric and Metabolic Surgery (BMS). There is no prospective study on the safety of BMS in these patients. This study aimed to capture outcomes for patients with advanced cardiac, renal, or liver disease undergoing BMS.
Materials and Methods
This was...
In the past few years, large-scale, high-throughput multi-omics experiments and improved clinical measurements have led to the generation of a plethora of multi-modal data sets related to many metabolic diseases (MetS), for example, type 1 diabetes (T1D), obesity, non-alcoholic fatty liver disease (NAFLD), etc. In literature, there are many integra...
Link prediction in complex networks has recently attracted a great deal of attraction in diverse scientific domains, including social and biological sciences. Given a snapshot of a network, the goal is to predict links that are missing in the network or that are likely to occur in the near future. This problem has both theoretical and practical sig...
Cognitive reserve measured by proxies of life experiences is thought to account for the heterogeneity in cognitive ageing. One hypothesis is that cognitively enriched environments acting on the noradrenergic system strengthen the right fronto-parietal networks to facilitate cognitive reserve and maintain cognition throughout the lifetime. We used m...
Chronotype impacts numerous physiological and disease traits, from metabolic syndrome to schizophrenia. The suprachiasmatic nucleus (SCN) maintains transcriptional-translational feedback loop (TTFL) which acts as a central chronobiological pacemaker, regulating 24-hour cycles throughout the human body. However, each tissue maintains its own periphe...
Background:
Previous studies have reported that tafamidis treatment was associated with better outcomes in patients with transthyretin amyloid cardiomyopathy (ATTR-CM) compared with those without tafamidis treatment. Therefore, we aimed to systematically assess the association of tafamidis treatment with outcomes in patients with ATTR-CM.
Methods...
[This corrects the article DOI: 10.1371/journal.pone.0263390.].
Background
Hypertrophic Cardiomyopathy (HCM) is a common inherited cardiac condition, affecting 1 in 500 people. HCM can present clinically with features mimicking acute coronary syndrome, such as chest pain, electrocardiogram (ECG) changes and cardiac biomarker elevation. Because of the overlap in symptoms and signs between HCM and coronary artery...
Background:
Atrial Fibrillation (AF) detection tools have rapidly developed over the last decade alongside the evolution of mobile health (mHealth) monitoring. mHealth wearable technologies have been hypothesised to be a potential non-invasive and near continuous modality for long term detection and monitoring of atrial arrhythmias. We conducted a...
Objective
Mechanisms of abdominal pain in children are not fully understood due to patient heterogeneity. We aimed to identify abdominal pain phenotypes in children to facilitate the investigation of phenotypic-genotypic associations and to determine risk factors for abdominal pain.
Design
This study included 13,789 children from a large birth coh...
Background:
A recent subanalysis of the EAST-AFNET 4 (Early Treatment of Atrial Fibrillation for Stroke Prevention Trial) suggests a stronger benefit of early rhythm control (ERC) in patients with atrial fibrillation and a high comorbidity burden when compared to patients with a lower comorbidity burden.
Methods:
We identified 109 739 patients w...
Artificial intelligence (AI) is increasingly being utilized in healthcare. This article provides clinicians and researchers with a step-wise foundation for high-value AI that can be applied to a variety of different data modalities. The aim is to improve the transparency and application of AI methods, with the potential to benefit patients in routi...
Background:
Left ventricular abnormalities in cardiac sarcoidosis (CS) are associated with adverse cardiovascular events, whereas the prognostic value of right ventricular (RV) involvement found on cardiac magnetic resonance is unclear.
Objectives:
This study aimed to systematically assess the prognostic value of right ventricular ejection fract...
The prevalence of diabetes in Birmingham is 11% but it is 22% in hospital inpatients. Queen Elizabeth Hospital in Birmingham (QEHB) serves a multi-ethnic population with 6% Afro-Caribbean, 19% South Asian and 70% White European. A clinical audit of 18,965 emergency admissions to QEHB showed that 5% were undiagnosed but had admission glucose in the...
Background
Several common conditions have been widely recognised as risk factors for COVID-19 related death, but risks borne by people with rare diseases are largely unknown. Therefore, we aim to estimate the difference of risk for people with rare diseases comparing to the unaffected.
Method
To estimate the correlation between rare diseases and C...
Much of the knowledge and information needed for enabling high-quality clinical research is stored in free-text format. Natural language processing (NLP) has been used to extract information from these sources at scale for several decades. This paper aims to present a comprehensive review of clinical NLP for the past 15 years in the UK to identify...
Annotation of biomedical entities with ontology classes provides for formal semantic analysis and mobilisation of background knowledge in determining their relationships. To date, enrichment analysis has been routinely employed to identify classes that are over-represented in annotations across sets of groups, such as biosample gene expression prof...
Background
We aimed to predict response to biologics in inflammatory bowel disease (IBD) using computerized image analysis of probe confocal laser endomicroscopy (pCLE) in vivo and assess the binding of fluorescent-labeled biologics ex vivo. Additionally, we investigated genes predictive of anti-tumor necrosis factor (TNF) response.
Methods
Twenty...
Background
Screening for colorectal cancer (CRC) reduces its mortality but has limited sensitivity and specificity. Aims We aimed to explore potential biomarker panels for CRC and adenoma detection and to gain insight into the interaction between gut microbiota and human metabolism in the presence of these lesions.
Methods
This multicenter case-co...
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive lethal diseases among other cancer types. Gut microbiome and its metabolic regulation play a crucial role in PDAC. Metabolic regulation in the gut is a complex process that involves microbiome and microbiome‐derived short‐chain fatty acids (SCFAs). SCFAs regulate inflammation, as...
Background
Oesophageal perforation is an uncommon surgical emergency associated with high morbidity and mortality. The timing and type of intervention is crucial and there has been a major paradigm shift towards minimal invasive management over the last 15 years. Herein, we review our management of spontaneous and iatrogenic oesophageal perforation...
Background:
The prevalence of combined heart failure (HF) and atrial fibrillation (AF) is rising, and these patients suffer from high rates of mortality. This study aims to provide robust data on factors associated with death, uniquely supported by post-mortem examination.
Methods:
A retrospective cohort study of hospitalized adults with a clini...
Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potentia...
Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potentia...
High throughput technological innovations in the past decade have accelerated research into the trillions of commensal microbes in the gut. The ‘omics’ technologies used for microbiome analysis are constantly evolving, and large-scale datasets are being produced. Despite of the fact that much of the research is still in its early stages, specific m...
Introduction
Recent major incidents (MI) in the UK have involved intentional explosions or indiscriminate attacks by perpetrators with bladed weapons. At a MI, on-scene triage vitally identifies those needing time-critical surgery and/or resuscitation (Priority 1, or P1, casualties), facilitating urgent transfer to specialist care. Currently, the N...
Aims
Major incidents (MI) are an important cause of death and disability. Triage tools are crucial to identifying patients requiring time-critical, life-saving surgery and/or resuscitation (Priority 1 (P1) patients). We employed machine learning to develop novel primary and secondary triage tools, including external validation.
Methods
Adults from...
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated with a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 condition or long COVID. We undertook a retrospective matched cohort study using a UK-based primary care database, Clinical Practice Research Datalink Aurum, to determine sym...
Background
Real-world evidence (RWE) plays an increasingly important role within global regulatory and reimbursement processes. RWE generation can be enhanced by collecting and using patient-reported outcomes (PROs), which can provide valuable information on the effectiveness, safety, and tolerability of health interventions from the patient perspe...
Background:
Liver cancer is the fourth leading cause of cancer-related death globally which is estimated to reach more than 1 million deaths a year by 2030. Among liver cancer types, hepatocellular carcinoma (HCC) accounts for approximately 90% of the cases and is known to have a tumour promoting inflammation regardless of its underlying aetiology...
The UK Biobank recruited 502,481 people aged 40 to 70 years who were invited to participate by post so not necessarily representative of the general population. The 405,363 participants with random glucose, HbA1c and the necessary demographic/clinical data were aged 56.5 (8.09) years, mean SD, with 54% female, and ethnicity 95.0% White W, 1.9 South...
Medical conditions can affect haematological factors altering relationship between HbA1c and glucose. Patients were recruited at hospital over 3 visits (*1/**2&3 only) comprising 20 with diabetes and in Fig 1 with liver disease (LD) & hepatitis C (HC) on ribavirin*, on dapsone*, with macrocytosis, and in Fig 2 LD & HC off ribavirin**, LD with nonal...
ntroduction: There is a paucity of data in the scientific literature on the morbidity and mortality of bariatric and metabolic surgery (BMS)
in individuals suffering from Type 2 diabetes mellitus (T2D). The current study is a secondary analysis of the GENEVA dataset to understand
this. Materials and Methods: Logistic regressions were performed to...
There is a paucity of data comparing 30-day morbidity and mortality of sleeve gastrectomy (SG), Roux-en-Y gastric bypass (RYGB), and one anastomosis gastric bypass (OAGB). This study aimed to compare the 30-day safety of SG, RYGB, and OAGB in propensity score-matched cohorts.
This analysis utilised data collected from the GENEVA study which was a m...
Importance:
Previous in vitro and postmortem research suggests that inflammation may lead to structural brain changes via activation of microglia and/or astrocytic dysfunction in a range of neuropsychiatric disorders.
Objective:
To investigate the relationship between inflammation and changes in brain structures in vivo and to explore a transcri...
Background:
Colorectal cancer (CRC) is the third leading cause of cancer-related death and the fourth most commonly diagnosed cancer worldwide. Due to a lack of diagnostic biomarkers and understanding of the underlying molecular mechanisms, CRC's mortality rate continues to grow. CRC occurrence and progression are dynamic processes. The expression...
The risk of recurrent dysplastic colonic lesions is increased following polypectomy. Yield of endoscopic surveillance after adenoma removal is low, while interval colorectal cancers occur. To longitudinally assess the dynamics of fecal microbiota and amino acids in the presence of adenomatous lesions and after their endoscopic removal. In this long...
Background
Numerous approaches have been proposed for the detection of epistatic interactions within GWAS datasets in order to better understand the drivers of disease and genetics.
Methods
A selection of state-of-the-art approaches were assessed. These included the statistical tests, fast-epistasis, BOOST, logistic regression and wtest; swarm int...
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS CoV-2) infection is frequently associated with a wide range of persistent symptoms, now referred to as post-COVID-19 condition, or Long COVID. The objectives of this study were to assess which symptoms are associated with confirmed SARS CoV-2 beyond 12 weeks post-infection in non-hospitalised in...
Background
Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance ‘patient-like me’ analyses, automated coding, differential diagnosis, and outcome prediction. While a large body of work exists exploring the use of semantic simil...
Background
People presenting with first-episode psychosis (FEP) have heterogenous outcomes. More than 40% fail to achieve symptomatic remission. Accurate prediction of individual outcome in FEP could facilitate early intervention to change the clinical trajectory and improve prognosis.
Aims
We aim to systematically review evidence for prediction m...
Recent advances in emergency medicine and the co-ordinated delivery of trauma care mean more critically-injured patients now reach the hospital alive and survive life-saving operations. Indeed, between 2008 and 2017, the odds of surviving a major traumatic injury in the UK increased by nineteen percent. However, the improved survival rates of sever...
Motivation
Existing microbiome-based disease prediction relies on the ability of machine learning methods to differentiate disease from healthy subjects based on the observed taxa abundance across samples. Despite numerous microbes have been implicated as potential biomarkers, challenges remain due to not only the statistical nature of microbiome d...
Atopic dermatitis (AD), or atopic eczema, is one of the most common inflammatory skin diseases with up to 10% prevalence in adults, and approximately 15-20% in children in industrialized countries. As a result, there is an unmet need for faster, safer, and effective treatments for AD. AD pathogenesis represents a complex interplay between multiple...
Introduction
Individuals with COVID-19 frequently experience symptoms and impaired quality of life beyond 4-12 weeks, commonly referred to as Long COVID. Whether Long COVID is one or several distinct syndromes is unknown. Establishing the evidence base for appropriate therapies is needed. We aim to evaluate the symptom burden and underlying pathoph...
Background: Metabolic and bariatric surgery (MBS) is an effective treatment for adolescents with severe obesity.
Objectives: This study examined the safety of MBS in adolescents during the corona-virus disease 2019 (COVID-19) pandemic.
Methods: This was a global, multicentre, and observational cohort study of MBS performed between May 01, 2020, and...
Objectives: To identify significant radiomics features derived from late gadolinium enhancement (LGE) images in participants with hypertrophic cardiomyopathy (HCM) and assess their prognostic value in predicting sudden cardiac death (SCD) endpoint.
Method: The 157 radiomic features of 379 sequential participants with HCM who underwent cardiovascula...
Semantic similarity is a useful approach for comparing patient phenotypes, and holds the potential of an effective method for exploiting text-derived phenotypes for differential diagnosis, text and document classification, and outcome prediction. While approaches for context disambiguation are commonly used in text mining applications, forming a st...
The toxic effects of excess dietary iron within the colonic lumen are well documented, particularly in the context of Inflammatory Bowel Disease (IBD) and Colorectal Cancer (CRC). Proposed mechanisms that underpin iron-associated intestinal disease include: i) the pro-inflammatory and ROS-promoting nature of iron, ii) gene-expression alterations, a...
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patterns in data versus discovering patterns in the world from data. If we address the fundamental challenges associated with "bridging th...
Aims: To provide robust data on mortality in patients with atrial fibrillation (AF) and heart failure (HF), accounting for differences in mode of death using post-mortem information.
Methods and Results: Retrospective cohort of 1009 patients admitted to a Romanian hospital between 2014-2017, with mean age 73±11 years, 47% women, NYHA class 3.0±0.9,...
Non-alcoholic fatty liver disease (NAFLD) is a chronic liver disease that presents a great challenge for treatment and prevention.. This study aims to implement a machine learning approach that employs such datasets to identify potential biomarker targets. We developed a pipeline to identify potential biomarkers for NAFLD that includes five major p...
Colon adenocarcinoma (COAD) is a common tumor of the gastrointestinal tract with a high mortality rate. Current research has identified many genes associated with immune infiltration that play a vital role in the development of COAD. In this study, we analysed the prognostic and diagnostic features of such immune-related genes in the context of col...
Background
There are data on the safety of cancer surgery and the efficacy of preventive strategies on the prevention of postoperative symptomatic COVID-19 in these patients. But there is little such data for any elective surgery. The main objectives of this study were to examine the safety of bariatric surgery (BS) during the coronavirus disease 2...
Abstract
Background
There are data on the safety of cancer surgery and the efficacy of preventive strategies on the prevention of postoperative symptomatic COVID-19 in these patients. But there is little such data for any elective surgery. The main objectives of this study were to examine the safety of bariatric surgery (BS) during the coronavirus...
Deterministic approaches using iterative optimisation have been historically successful in diffeomorphic image registration (DiffIR). Although these approaches are highly accurate, they typically carry a significant computational burden. Recent developments in stochastic approaches based on deep learning have achieved sub-second runtimes for DiffIR...
Background
High-quality phenotype definitions are desirable to enable the extraction of patient cohorts from large electronic health record repositories and are characterized by properties such as portability, reproducibility, and validity. Phenotype libraries, where definitions are stored, have the potential to contribute significantly to the qual...
Abstract
Background
There are data on the safety of cancer surgery and the efficacy of preventive strategies on the prevention of postoperative symptomatic COVID-19 in these patients. But there is little such data for any elective surgery. The main objectives of this study were to examine the safety of bariatric surgery (BS) during the coronavirus...
Psychosis is a major mental illness with first onset in young adults. The prognosis is poor in around half of the people affected, and difficult to predict. The few tools available to predict prognosis have major weaknesses which limit their use in clinical practice. We aimed to develop and validate a risk prediction model of symptom non-remission...
Background
In recent years a large volume of clinical genomics data has become available due to rapid advances in sequencing technologies. Efficient exploitation of this genomics data requires linkage to patient phenotype profiles. Current resources providing disease-phenotype associations are not comprehensive, and they often do not have broad cov...
Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of the key challenges in multimorbidity research. In this paper we are using a network-based approac...
Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance 'patient-like me' analyses, automated coding, differential diagnosis, and outcome prediction, by leveraging the wealth of background knowledge provided by biomedical ontologi...
MYC is a target of the Wnt signalling pathway and governs numerous cellular and developmental programmes hijacked in cancers. The amplification of MYC is a frequently occurring genetic alteration in cancer genomes, and this transcription factor is implicated in metabolic reprogramming, cell death, and angiogenesis in cancers. In this review, we ana...