A Stanford anesthesiologist co-founded a volunteer organization that maps COVID-19 testing locations and displays updated data about the pandemic.
At day two of the Big Data in Precision Health conference, DJ Patil shared how he discovered data science and was hired by the Obama administration.
Before the Big Data in Precision Health conference, Don Rucker, the national coordinator for health IT, discusses the government's role in health data.
Stanford scientists and their collaborators tracked the health of over 100 people for several years, flagging early signs of disease.
Maja Matarić, a robiticist at the University of Southern California, plans to speak about socially assistive robotics at Big Data in Precision Health.
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 Stanford researcher has found that patients with heart failure, even if it's relatively mild, are more likely to die within three months after surgery.
A Stanford study highlights a data optimization method for health-risk assessments to lower costs and and improve diagnostic power.
The latest issue of Stanford Medicine magazine explores the potential for digitally driven innovation to transform health education, diagnostics and care.
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes
A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
A new white paper from Stanford Medicine details obstacles and offers solutions for achieving the full potential of electronic health records.
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
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.
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.