Stanford scientists and their collaborators tracked the health of over 100 people for several years, flagging early signs of disease.
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.
Stanford researcher Michael Snyder describes his work cataloging the vast number of environmental particulates individuals are exposed to.
A push to personalize medicine can backfire when it comes to screening for colorectal cancer, says a Stanford gastroenterologist.
The seventh annual Big Data in Precision Health conference will be held May 22 and 23 on the Stanford campus; registration is now open.
An interdisciplinary team of Stanford researchers have developed a implantable, biodegradable, wireless and battery-free blood flow sensor.
Geneticist Michael Snyder has tracked the expression of his genes for three years, focusing on changes in response to chronic or acute disease.
Scientists have measured the human “exposome,” or the particulates, chemicals, and microbes that individually swarm us all, in unprecedented detail.
Stanford medical student Jason Neil Batten edits an ethics in precision health journal issue for the American Medical Association's Journal of Ethics.
PHIND scientists discuss how to stop disease in its track, aiming for earlier diagnostics and more precise medical treatments.
The new issue of Stanford Medicine explores how Stanford's health care entities crafted a shared vision that is playing out in research, education and care.
Monitoring changes in the levels of circulating bits of tumor DNA may help some lymphoma patients avoid unnecessary chemotherapy, Stanford researchers find.
Scientists who work with the Stanford Precision Health and Integrated Diagnostics Center set out to find new ways to precisely predict, prevent and diagnose diseases that range from diabetes to mental health.
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.