Scientists have measured the human “exposome,” or the particulates, chemicals, and microbes that individually swarm us all, in unprecedented detail.
PHIND scientists discuss how to stop disease in its track, aiming for earlier diagnostics and more precise medical treatments.
John Ioannidis reflects on the phenomenon of "hyper-publishing," where certain scientists are listed as authors on scores of papers a year.
The true driver mutations of cancer are almost always common to all metastases in an individual, according to a Stanford scientist and other researchers.
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
Scientists review the compliance of pharmacies and tobacco-selling policies, finding that Walgreens is the most likely to sell to minors.
John Farquhar, a beloved mentor, and pioneer in cardiovascular disease prevention at Stanford, died Aug. 22 at the age of 91.
Citizen science through an online computer game, EVE online, helps scientists better classify protein locations inside a cell.
Your cells can die in several ways, and that's not necessarily a bad thing. This piece explains four types of cell death.
Stanford physician Donna Zulman is working to understand why high-need patients may not follow-up with care outside the clinic.
Stanford's WELL for Life initiative encourages you to get outside through a "mini challenge" that emphasizes the role of nature in your well-being.
A new imaging technology that harnesses fluorescence allows scientists to detect tuberculosis in an hour and to measure drug efficacy.
Continuously monitoring blood sugar levels turns up new evidence to suggest that more people have sharp increases in their blood sugar than expected.
A small magnetic wire that attracts nanoparticles engineered to stick to tumor cells may stand to detect cancer earlier.
John Ioannidis recommends a change to the standards of nutrition research studies, suggesting that, as they stand, the results are fairly unreliable.
A diabetes program, developed with a Stanford scientist, helps cut costs of diabetes-related health care expenses by $815 per year per person.