Latest AI and machine learning research in prevention for healthcare professionals.
Background: Conventional evaluations of digital health interventions typically assess mean treatment...
Perivascular adipose tissue (PVAT), an intriguing layer of fat surrounding blood vessels, regulates ...
Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...
Determining physiological stress at high resolution is crucial across diverse settings to enable inf...
Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...
Low back pain (LBP) is a pervasive global health challenge, affecting approximately 80% of adults an...
Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with card...
Background/ObjectivesHead and neck cancer (HNC) represents the seventh most common cancer diagnosis ...
Causal discovery aims to recover ``what causes what'', but classical constraint-based methods (e.g.,...
Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive b...
This paper introduces the Ambient Intelligence Rehabilitation Support (AIRS) framework, an advance...
Despite years of research and the dramatic scaling of artificial intelligence (AI) systems, a stri...
Since the discovery of the life-saving hormone insulin in 1921 by Dr. Frederick Banting in 1921, the...
Visual experience is known to play a critical role in face recognition. This experience is thought t...
Laryngopharyngeal reflux (LPR) refers to the retrograde flow of stomach contents into the larynx due...
Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...
Recent multi-omic microbiome studies enable integrative analysis of microbes and metabolites, unco...
Background: Generative artificial intelligence (AI) deployment in academic medical settings raises...
As with many parts of the natural sciences, machine learning interatomic potentials (MLIPs) are revo...
Isometric exercises appeal to individuals seeking convenience, privacy, and minimal dependence on ...
Minoritised ethnic people are marginalised in society, and therefore at a higher risk of adverse o...