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.
A new approach to identifying the factors linked to poverty could help researchers identify ways to prevent it.
Geneticist Michael Snyder has tracked the expression of his genes for three years, focusing on changes in response to chronic or acute disease.
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes
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.
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
Stanford researchers developed a wearable device to measure how much cortisol people produce in their sweat. Cortisol is critical to many physiological processes.
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.
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.
