Geneticist Michael Snyder has tracked the expression of his genes for three years, focusing on changes in response to chronic or acute disease.
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes
Scientists have measured the human “exposome,” or the particulates, chemicals, and microbes that individually swarm us all, in unprecedented detail.
Stanford medical student Jason Neil Batten edits an ethics in precision health journal issue for the American Medical Association's Journal of Ethics.
PHIND scientists discuss how to stop disease in its track, aiming for earlier diagnostics and more precise medical treatments.
The new issue of Stanford Medicine explores how Stanford's health care entities crafted a shared vision that is playing out in research, education and care.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
Stanford researchers developed a wearable device to measure how much cortisol people produce in their sweat. Cortisol is critical to many physiological processes.
Stanford Medicine's Electronic Health Records National Symposium touched on improving inefficiencies of EHRs, harnessing data for population health management, building on successes and overcoming obstacles.
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.
At a time when technology is bringing the world closer together, the practice and potential of sharing patient data is beginning to blur the notion of “rare” diseases, and offer more options for identifying and treating conditions previously considered undiagnosed, panelists at a Stanford conference said.
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.
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.
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.
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.
