Researchers at the School of Medicine have shown how exercise changes the body at a molecular level and have identified blood markers of fitness.

Researchers from Stanford Medicine and their collaborators aim to predict the onset of viral infection through data provided by wearable technology. What they need now are participants.

A disease-detecting “precision health” toilet can sense multiple signs of illness through automated urine and stool analysis, a new Stanford study reports.

Stanford’s test for COVID-19, caused by the novel coronavirus, is rapidly expanding capacity to serve patients in the Bay Area and beyond. Researchers hope to soon be able to process more than 1,000 tests per day.

Screening thousands of drugs, Stanford scientists determined that in mice, azlocillin, an antibiotic approved by the Food and Drug Administration, eliminated the bacteria that causes Lyme disease.

Winning studies were chosen by members of the Clinical Research Forum, a nonprofit foundation that promotes the understanding of clinical research and its impact on health and health care.

Researchers used electroencephalography and artificial intelligence to identify individuals who would likely respond to sertraline, the antidepressant marketed as Zoloft.

Stanford data scientists have shown that figuring out a single number can help them find the most dangerous cancer cells.

Stanford scientists have identified specific biological pathways along which individuals age over time.

The report documents key trends steering the industry’s future, including a maturing digital health market, new health laws opening patient access to data, and artificial intelligence gaining regulatory traction for medical use.