Unfair participant selection in clinical trials is addressed by a new computer model.

Published Date: 26 Apr 2023

The target population typically has better health than participants in health research studies, such as cancer screening trials (the "healthy volunteer" effect).

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Northwestern Medicine investigators have developed a new imaging approach to more accurately assess blood flow in the spinal cord, a method that could be used to better inform treatment for neurological diseases and injuries, ...

A rare glimpse into the brain activity of a patient with obesity and loss of control eating on tirzepatide, marketed as Mounjaro and Zepbound, revealed that the medication suppresses signaling in the brain's "reward center" ...

A new artificial intelligence tool that can create virtual representations of patients and predict individual health trajectories has been hailed a potential gamechanger for the clinical trial sector.

Harnessing the muscle of one of the world's fastest supercomputers, researchers have built one of the largest and most detailed biophysically realistic brain simulations of an animal ever.

Researchers at The Johns Hopkins Medicine say they have developed a new electronic medical records-based tool that should help doctors predict which patients are most at risk of losing a transplanted kidney graft.

A health care chatbot can be a patient's first point of contact for some sensitive conversations from mental health to billing, a new CU Anschutz study has found.

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Speeding the detection of three serious regional fungal infections

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FDA approves Darzalex Faspro for high-risk smoldering multiple myeloma

The U.S. Food and Drug Administration has approved Darzalex Faspro (daratumumab and hyaluronidase-fihj) as a single-agent treatment for adult patients with high-risk smoldering multiple myeloma (HR-SMM).

Family history key to predicting antidepressant response

A new study from Queen Mary University of London shows that a family's experience with certain medicines could help doctors predict how future generations will respond to the same drugs.

Collaborations key to unlocking potential of AI in transforming medical education, say experts

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