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.
Scientists at Stanford find a biomarker for flu susceptibility, enabling predictions of if someone is going to fall ill to the virus after being exposed.
Researchers at Stanford are harnessing sound and acoustics to innovate technologies that boost medical and health applications; from a stethoscope that "hears" brain waves, to software that identifies the hums of mosquitoes.
Scientists who work with the Stanford Precision Health and Integrated Diagnostics Center set out to find new ways to precisely predict, prevent and diagnose diseases that range from diabetes to mental health.
During a digital health-focused session at the Big Data in Precision Health conference, four speakers detailed the ways in which they're harnessing digital technologies to empower patient health.
Experts from academia, industry government and more came together at this year's Big Data in Precision Health conference to share successes, lessons and insights into how they're breaking down data to precisely advance health care and research.
During a recent talk, Lisa Goldthwaite, a clinical assistant professor at Stanford, told the truths of HPV, sharing practical insights and lessons that are important to everyone's health.
At the recent Stanford Women's Health Forum, Kate Shaw, a clinical associate professor of obstetrics and gynecology, spoke about the evolution and history of birth control.
Dekel Gelbman, CEO of FDNA, speaks on the role of artificial intelligence in health care, and how he sees AI contributing to genetic diagnostic in particular.
Scientists at Stanford have created a new PET scan-compatible tracing agent that tracks immune cells poised to attack cancer, offering a new way to predict the success of certain therapies.
Jenna Wiens, an assistant professor at the University of Michigan, speaks to how big data, machine learning and health care intersect in advance of the Big Data in Precision Health conference at Stanford.
A new gene-editing technology enables scientists to make thousands of edits at once and track them with specific barcodes.
Jennifer Schneider, chief medical officer, breaks down her perspective on the intersection of technology and health care in preparation for this year's Big Data in Precision Health conference.