A heavy skew toward white people makes precision medicine imprecise

New diagnostic tools such as machine learning and precision medicine could help identify tuberculosis patients with the highest risk of reactivation of the disease, according to a new University of Michigan study.

A genetic mutation makes a glioma subtype resistant to radiation, but a new study finds a potential way around it using currently available drugs.

W. Nicholson Price, assistant professor at University of Michigan Law School and faculty affiliate at Harvard Law School’s Petrie-Flom Center for Health Law Policy, Biotechnology, and Bioethics, addresses key ethical questions raised by AI’s use in healthcare.

In the past, samples often were collected for a single study with a specific exposure and outcome in mind. For example, the study may have been looking at blood samples to understand various kinds of blockages in the arteries. Today, blood draws and other patient samples are collected on a much larger scale and stored in massive biobanks, which can then be used by many researchers to study many different outcomes and questions.