Latest AI and machine learning research in primary care for healthcare professionals.
Non-alcoholic fatty liver disease (NAFLD) is a globally prevalent hepatic condition caused by the bu...
Abstract. Genetic diagnosis remains a formidable challenge characterized by a diagnostic odyssey tha...
Neural organoids have revolutionized how human neurodevelopmental disorders (NDDs) are studied. Yet,...
Background: The ability of large language models (LLMs) to work collaboratively and screen studies i...
Background: Large language models (LLMs) show promise for clinical decision support, yet most valida...
Virtual screening aims to efficiently identify active ligands from massive chemical libraries for a ...
Background: Risk screening for pre-eclampsia relies on accurate gestational age assessment, but rout...
ABSTRACT Objectives: To quantify patterns of preventable death in Australian coronial findings, meas...
Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic de...
Widespread screening for Adolescent Idiopathic Scoliosis (AIS) is critical for timely intervention b...
Body mass index (BMI), type 2 diabetes (T2D) and associated cardiometabolic features modify Alzheime...
Aging is asynchronous across cells and organs, but whether plasma proteins can capture cell type-spe...
Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. C...
Background: Natural language processing (NLP) systems integrated into clinical workflows show promis...
Background: Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most c...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...
Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to i...
Isolated REM sleep behavior disorder (iRBD) is a key prodromal marker of Parkinson's disease (PD), a...
Accurate risk stratification in patients with overweight or obesity is critical for guiding preventi...
Recent generative and tool-using AI systems can surface a large volume of candidates at low marginal...
Background: Artificial intelligence applications for preventive stress monitoring remain limited by ...