Ahead of the Big Data in Precision Health conference, Emma Huang from Johnson & Johnson Innovations discusses collaborations between industry and academia.
Maja Matarić, a robiticist at the University of Southern California, plans to speak about socially assistive robotics at Big Data in Precision Health.
By scouting for a particular immune cell in the blood, scientists can tell which patients with a lung-scarring disease are at higher risk for death.
Understanding the roles of various microbes in the human microbiome is challenging, but statistics can help, Stanford researcher Susan Holmes explains.
The seventh annual Big Data in Precision Health conference will be held May 22 and 23 on the Stanford campus; registration is now open.
Dean Lloyd Minor discusses findings of Stanford Medicine's recently released Health Trends Report.
Artificial intelligence tied to a wearable heart monitor has shown potential to help diagnose irregular heart rhythms, new research shows.
The Stanford Medicine 2018 Health Trends Report found that an explosion of data in medicine is democratizing health care.
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.