A STAT Investigation looks at how race became a predictor in medical diagnoses, and the difficulty in separating implicit bias and science in revising clinical algorithms.

The Lundquist Institute for Biomedical Innovation at Harbor-UCLA (TLI) announced today that the National Institute of Allergy ...

A coalition of 12 Philadelphia-area health systems have abandoned the use of race adjustments in four clinical tools ...

Many physicians are now using algorithms that consider a patient's sex, like heart disease risk assessment tools, to help with clinical decision-making. Reliance on these algorithms may result in ...

In fact, none of the three clinical algorithms they point to involving measuring kidney function, lung function, or which children may have a urinary tract infection (UTI) are race-based. All of them ...

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Vyas discussed how racial studies justify the inequitable treatment of minority groups in medicine at a Park Street Corporation Speaker Series lecture.

Taking race into account when developing tools to predict a patient's risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.

Greater Philly health systems remove race from clinical algorithms that guide decisions in kidney, lung and pregnancy care The regional coalition of health systems is reevaluating the role of race in ...