Primary Care

Mortality Prediction Among People Living With HIV on Antiretroviral Therapy in Public Health Facilities in Gondar City Administration, Northwest Ethiopia: Machine Learning-Based Study.

BACKGROUND: Predicting mortality among people living with HIV enables clinicians to implement timely...

ChemScreener: an active learning enabled hit discovery workflow with WDR5 inhibitor case study.

Active deep learning offers a promising approach for hit discovery starting from limited data by ite...

AI-Driven Chemometrics for Multi-omics Data Integration: Advances, Challenges, and Future Directions.

The convergence of artificial intelligence and chemometrics has revolutionized multi-omics data inte...

Deep learning driven clustering of post-traumatic stress disorder (PTSD) profiles in student-athletes: implications for precision and stratified mental health support.

BACKGROUND: Athletes frequently experience potentially traumatic events related to sports injuries, ...

Traditional statistics and artificial intelligence-based prognostic models for predicting type 2 diabetes mellitus after gestational diabetes: a systematic review.

Accelerated Screening of Electrolyte Solvents for High Safety Batteries Using Machine Learning.

We present a high-throughput screening approach to identifying safer nonaqueous solvents to replace ...

Unveiling novel biomarkers for diabetes-related complications through large-scale proteomics analysis: A FIELD sub-study.

BACKGROUND: Vascular complications of Type 2 diabetes (T2D) significantly contribute to its morbidit...

Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories.

Interactive multimodal disease risk evaluation using a self-service non-invasive device.

BACKGROUND: Non-communicable diseases such as diabetes, fatty liver disease and chronic kidney disea...

International consensus on adolescent metabolic health: prevention of obesity and type 2 diabetes.

[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].

Gastric cancer constitutes a significant global health burden, and its clinical management is underg...

[Exploration and clinical application of the "digital and intelligent surgery" diagnosis and treatment workflow for oral and maxillofacial tumors].

Tumors in the oral and maxillofacial region present significant clinical challenges due to anatomica...

Machine Learning-Driven Ensemble Screening of Multitarget Kinase Inhibitors for Tauopathy-Associated Neurodegeneration Using All-Atom and Steered MD Simulations.

Tauopathies arise when normal functions of the tau protein in axonal transport and neuronal maintena...

Development of a real-world, therapeutic drug monitoring-informed model to predict teicoplanin daily dose in pediatric intensive care unit patients with bacterial infections.

INTRODUCTION: Teicoplanin is commonly used to treat Gram-positive bacterial infections in the intens...

Artificial Intelligence in Trauma Care: A Systematic Review of Resuscitation, Diagnosis, Risk Prediction, and Management.

BACKGROUND: Artificial intelligence (AI) is increasingly being explored in trauma care as a tool to ...

Oral microbiome signatures predict biological age and host health.

Identifying robust, non-invasive biomarkers of biological age is key to preventive medicine. While g...

Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia.

Global implementation of gastric cancer (GC) screening in chronic dyspepsia populations faces challe...

Referral uptake after diabetic retinopathy screening with artificial intelligence-assisted care pathways: a systematic review and meta-analysis.

Artificial intelligence (AI) is an accurate screening tool for diabetic retinopathy (DR), the leadin...

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City.

Low back pain (LBP) is common among adolescent cricketers, often due to repetitive lumbar stress. Th...

Voice recognition as an innovative method to identify and monitor heart failure - a review.

Screening of heart failure (HF) remains suboptimal. However, vocal biomarkers are an emerging tool t...

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, necessitati...