Data Sciences

Stanford Medicine researchers devise a new artificial intelligence model, SyntheMol, which creates recipes for chemists to synthesize the drugs in the lab.

Stanford Medicine researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.

Previous large health studies didn’t collect sexual orientation and gender identity information. A Stanford Medicine study finds the All of Us Research Program a boon to LGBTQ health researchers, future health outcomes.

Many people don’t know they have chronic kidney disease until it progresses. A new study by Stanford Medicine researchers finds that screening would increase life expectancy in a cost-effective way.

Stanford Medicine scientists and their colleagues have shown they can tap mothers’ and babies’ medical records to better predict newborn health risks.

Stanford Medicine researchers did not find a connection between the age children acquired their first cell phone and their sleep patterns, depression symptoms or grades.

Stanford Health Care earned a Most Wired recognition for using outstanding technology in ambulatory and acute care.

Native Hawaiians and other Pacific Islanders experience poorer breast cancer survival outcomes that are hidden when their data is included in Asian populations, Stanford researcher says.

Marijuana use and heart-attack risk were correlated in a large human study, Stanford scientists and their collaborators found. A molecule in soybeans may counteract these effects.

Researchers have created a test that can predict which dengue patients will likely have mild symptoms and which should be clinically monitored for a high risk of severe illness.

As the inaugural chief data scientist for Stanford Health Care, Nigam Shah will lead an effort to advance the use of artificial intelligence in patient care and hospital administration.