Truveta scientists developed and validated a multimodal deep learning model using chest radiographs and de-identified ...

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.

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

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

AI-driven nanomedicine advances enable personalized breast cancer treatments, combining precision, biomimetic nanocarriers, ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.

A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of ...