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 ...

Pediatric hospitals are using artificial intelligence to document patient encounters to reduce burnout and develop models for ...

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 ...

AI drives decision inputs: In 2025, both big pharma and small pharma use advanced predictive modeling, digital twins, and AI-powered analytics throughout R&D and regulatory processes. This reduces ...

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

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.

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