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.
Lisa Suennen of GE Ventures speaks about big data and digital innovations in the month leading up to her talk at Stanford's Big Data conference.
With the newly-established Center for Precision Mental Health and Wellness at Stanford, Leanne Williams plans to deepen and broaden her research connecting brain function and mental health and bring those discoveries to patients.
Stanford sleep specialist Jamie Zeitzer discusses how we monitor, and could monitor, sleep in the 21st century.
New research from Stanford Medicine suggests that it may be possible to determine the risk of death from sepsis using a blood test.
Stanford's Russ Altman discussed the pharmgkb.org database — which matches genomes with medication information — at the recent Beckman Symposium on campus.
Stanford researchers have developed an improved method to detect some biomarkers, a technique they hope could more precisely detect diseases such as cancer.
As discussed here earlier this week, the new issue of Stanford Medicine magazine explores the meaning and future of diagnostics. But what exactly is diagnostics? For …
Improved methods for analyzing patient medical records support the suspicion that a common cancer treatment may increase the risk of dementia. Such methods may soon …