Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying ...

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...

Dementia poses an increasing global health challenge, and the introduction of new drugs with diverse activity profiles ...

In the lingo of the field, dopamine-producing cells are measuring a reward prediction error — the difference between the ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Machine learning sharpens CAD prediction but falls short in detecting plaques most likely to cause cardiac events in patients ...

AI-driven nanomedicine advances enable personalized breast cancer treatments, combining precision, biomimetic nanocarriers, and multi-omics for better outcomes.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares.