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

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

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.

If you liked this story, share it with other people. In 2024, a group of researchers with the U.S. Centers for Disease Control (CDC) used machine learning to analyze 24 Ebola outbreaks between 2001 ...

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

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 ...