Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Blood proteins can reveal the biological age of different cell types. Accelerated cellular aging was linked to a higher risk ...

A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors ...

A researcher at LSU Health Shreveport has been awarded a grant of just over $200,000 to study how to predict and prevent heat ...

A UK Biobank study of nearly 390,000 people mapped 251 NMR-derived plasma metabolic traits against hundreds of health traits, ...

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Discover how a new technique that captures chemical arrangements across materials can improve predictions of how complex ...

While public conversations may often focus on chatbots and workplace automation, To sees specialized AI systems trained on ...

Periodontitis is one of the most common chronic inflammatory diseases worldwide and a leading cause of tooth loss in adults.

HealthDay News — Colored fundus photography (CFP) can identify regions of the retina associated with risk factors for Alzheimer disease (AD), according to a study published online June 16 in the ...