A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
A new white paper from Stanford Medicine details obstacles and offers solutions for achieving the full potential of electronic health records.
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
Citizen science through an online computer game, EVE online, helps scientists better classify protein locations inside a cell.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
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.
Most participants in clinical trials believe the benefits of broadly sharing individual data outweigh the risks, a new Stanford study has found.
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.
A biobank from the U.K. releases hundreds of thousands of anonymized medical records and genetic data to scientists, who used it to track down new links between genetics and disease.
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 combination of machine learning and human judgment can provide solutions for social problems, said Rayid Ghani of the University of Chicago in a speech at Stanford.