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 researchers develop a new way to track the growth of diverse tumor types, using gene editing and DNA barcoding.
Stanford physician Sidhartha Sinha analyzes social media posts using machine learning to better understand patient and societal perceptions on medical interventions and illnesses.
Using data and storytelling, Arianna Huffington is working encourage a cultural shift toward health and wellness, she explained at a conversation with Dean Lloyd Minor on campus.
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.
How does a "slightly bananas side project" (his words) in a biochemist's lab help accelerate researchers’ understanding of RNA? During last year's Big Data in Biomedicine conference, Stanford biochemist Rhiju …
