Public Health & Policy

Development and validation of venous thromboembolism-bidirectional encoder representations from transformers (VTE-BERT) natural language processing model.

BACKGROUND: Accurate and rapid phenotyping of venous thromboembolism (VTE) in longitudinal studies is important. A natural language processing (NLP) tool externally validated in representative patients is lacking. OBJECTIVES: To train and validate an efficient NLP model to detect incident VTE event. METHODS: We designed a novel NLP platform, NLPMed, to assist thrombosis researchers with data prepr...

Selenium biofortification: integrating one health and sustainability.

Selenium (Se) biofortification in crops has emerged as a promising strategy to address global Se deficiencies and enhance both agricultural productivity and human health. Increasing the Se content of crops through biofortification improves their resilience to abiotic and biotic stresses and boosts their nutritional value. This benefits human health by protecting against diseases such as cancer, in...

Intraductal Papillary Mucinous Neoplasm and Pancreatic Cancer: Opportunity Knocks Twice.

Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papillary mucinous neoplasm (IPMN) is the most common ...

Machine Learning Risk Stratification for Older Breast Cancer Survivors: Clinical Care Implications.

OBJECTIVE: To develop and validate a clinical risk prediction algorithm to identify breast cancer survivors at high risk for adverse outcomes. STUDY S...

iALP: Identification of Allergenic Proteins Based on Large Language Model and Gate Linear Unit.

The rising incidence of allergic disorders has emerged as a pressing public health issue worldwide, underscoring the need for intensified research and...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptomatic dysglycaemia, which precedes T2D, provides op...

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the general population, significantly affecting morbidity an...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms rem...

Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for via metagenomic sequencing.

Antimicrobial resistance (AMR) represents a critical global health challenge, demanding rapid and accurate antimicrobial susceptibility testing (AST) ...

Advancing fungal phylogenetics: integrating modern sequencing, dark taxa discovery, and machine learning.

The study of fungal genetics has undergone transformative advancements in recent decades, profoundly reshaping our understanding of fungal diversity, ...

Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biological, social, and economic factors. Despite widespr...

Value-Based Care in Orthopaedic Surgery: Outcomes, Costing, and Policy Updates.

➢ Strategic action following the measurement of outcomes in the context of cost allows for the reallocation of resources to value-adding interventions...

Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in the Eastern Region of Ghana: A machine learning statistical design of experiment modeling.

BACKGROUND: Snakebite is a severe neglected tropical disease (NTD) that affects 2.5 million people each year, resulting in the deaths of 81,000-138,00...

Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: the MADIVA protocol.

INTRODUCTION: Multimorbidity (MM), defined as two or more chronic diseases in an individual, is linked to adverse outcomes. MM is increasing in sub-Sa...

Automated tick classification using deep learning and its associated challenges in citizen science.

Lyme borreliosis and tick-borne encephalitis significantly impact public health in Europe, transmitted primarily by endemic tick species. The recent i...

Recent advancement in endoscopic diagnosis for risk stratification of gastric cancer.

Approximately 90% of cases of gastric cancer (GC) are caused by Helicobacter pylori infection, and screening esophagogastroduodenoscopy is effective f...

From Snapshots to Stable Outcomes: Resting-State Functional Magnetic Resonance Imaging-Based Prognosis of Functioning in Patients With Psychosis Risk or Recent-Onset Depression.

BACKGROUND: Early recovery of functioning is critical for favorable outcomes in psychotic and affective disorders. Transdiagnostic brain activity patt...

Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.

The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent societal issues. We developed an artificial intelli...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational issue that threatens staff well-being and care qual...

Prediction and characterisation of the human B cell response to a heterologous two-dose Ebola vaccine.

Ebola virus disease (EVD) outbreaks are increasing, posing significant threats to affected communities. Effective outbreak management depends on prote...