Primary Care

Development of prediction models for screening depression and anxiety using smartphone and wearable-based digital phenotyping: protocol for the Smartphone and Wearable Assessment for Real-Time Screening of Depression and Anxiety (SWARTS-DA) observational study in Korea.

INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantl...

Graph_RG: Dominating CASP16's Small Molecule Affinity Prediction Subcategory-A Pose-Free Framework for Billion-Scale Virtual Screening.

Protein-ligand interaction prediction is pivotal in early-stage drug development, enabling large-sca...

AI-driven discovery of brain-penetrant Galectin-3 inhibitors for Alzheimer's disease therapy.

Galectin-3 (Gal-3) has emerged as a critical regulator of neuroinflammation and a promising therapeu...

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables.

Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and...

Prevalence and determinants of hypertension among adults of reproductive age in Tanzania: analysis of a cross-sectional Demographic and Health Survey.

OBJECTIVE: We aimed to estimate prevalence and identify determinants of hypertension in adults aged ...

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young American...

The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screenin...

Association of DNA methylation epigenetic markers with all-cause mortality and cardiovascular disease-related mortality in diabetic population: a machine learning-based retrospective cohort study.

BACKGROUND: Diabetes has a large and diverse population, with individuals exhibiting significant het...

Machine learning-based stratification of prediabetes and type 2 diabetes progression.

BACKGROUND: Diabetes mellitus, a global health concern with severe complications, demands early dete...

Innovative technologies and their clinical prospects for early lung cancer screening.

BACKGROUND: Lung cancer remains the leading cause of cancer-related mortality worldwide, due to lack...

Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.

BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile lin...

Artificial intelligence in dentistry: a narrative review of applications, challenges, and future directions.

Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in d...

Deep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes.

BACKGROUND: The long-term association between adrenal gland volume (AGV) and type 2 diabetes (T2D) r...

Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottlenec...

The Future of Automated Insulin Delivery Systems.

Automated insulin delivery (AID) systems have revolutionized diabetes care by integrating continuous...

Artificial Intelligence-Based Hospital Malnutrition Screening: Validation of a Novel Machine Learning Model.

BACKGROUND: Despite its morbidity, mortality, and financial burden, in-hospital malnutrition remains...

Artificial Intelligence for Chronic Disease Screening in Latin America and the Caribbean: The Diagnostic Potential of Digital Health.

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary coll...

High-Sensitivity Detection of C-Peptide Biomarker for Diabetes by Solid-State Nanopore Using Machine Learning Identification.

Accurate and early detection of C-peptide, a stable biomarker indicative of diabetes, is crucial for...

Medical digital twins: enabling precision medicine and medical artificial intelligence.

The notion of medical digital twins is gaining popularity both within the scientific community and a...

Predicting pulmonary hemodynamics in pediatric pulmonary arterial hypertension using cardiac magnetic resonance imaging and machine learning: an exploratory pilot study.

PURPOSE: Pulmonary arterial hypertension (PAH) significantly affects the pulmonary vasculature, requ...