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.
A team of researchers has updated and improved the equations that guide prescribing decisions for physicians in the U.S. regarding cardiovascular risk.
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.
Stanford physician Sidhartha Sinha analyzes social media posts using machine learning to better understand patient and societal perceptions on medical interventions and illnesses.
In a talk at Stanford, Jonathan Perlin of HCA Healthcare discusses how electronic health records can help doctors improve care in a learning health system.
Sharing data to expand knowledge and accelerate the pace of scientific discovery was a big theme at the 2017 Big Data in Biomedicine Conference. But, …
Clinical trials, in their current incarnation, are ill-suited for the nimble, personalized precision health era, a a panel of speakers at the Big Data in …