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.
Dean Lloyd Minor from Stanford and Bon Ku from Thomas Jefferson University weigh in on forces transforming medical care.
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.
A Stanford symposium asks: In the midst of technological progress, how do doctors retain the human touch with patients and ensure that new developments enhance, rather than impede, their profession?
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.
A new radioactive agent developed at Stanford can identify whether a widely used lung cancer drug is likely to be effective.
As part of the "Breaking down diabetes" series, physician Randall Stafford provides a straightforward guide to medications that can treat Type 2 diabetes.
Metformin is physician-researcher Randall Stafford's go-to drug for diabetes. He explains why in this installment in the series, Breaking down diabetes.
Study finds even a modest weight gain causes the body to fluctuate on the molecular level, but most changes revert back when weight is lost.
Stanford researchers have developed an improved method to detect some biomarkers, a technique they hope could more precisely detect diseases such as cancer.
By identifying abnormally expressed proteins in the eye, a Stanford-led team matched existing drugs with these proteins to quell patients' symptoms.
Consider it a pre-Thanksgiving brain teaser. The image at the right is something called an autostereogram -- a three-dimensional picture that can be seen only by …