Data Sciences

The professor of rheumatology and immunology created an early computer database to follow rheumatology patients. The knowledge he gained from it precipitated his “compression of morbidity” hypothesis.

Data suggest that between 10% and 30% of those who have had an acute SARS-CoV-2 infection will experience the persistent pattern of symptoms known as long COVID.

EcoTyper is an algorithm that can sort out cell “ecotypes” — distinct multicellular communities — that exist in many different kinds of cancer.

Stanford Medicine researchers created a new type of medical consult that harnesses millions of electronic health records to bring new insights to patient care.

Giving people information about animal welfare can motivate them to eat less meat, a meta-analysis of 100 studies has found.

Stanford researchers found that data from smartwatches can flag early signs of some health conditions and predict the results of simple blood tests.

Stanford researchers find that two-thirds of residents in the state’s prisons accepted a vaccine when offered, and many who initially said no later agreed to be vaccinated.

Artificial intelligence, interpreting data from a device placed at the brain’s surface, enables people who are paralyzed or have severely impaired limb movement to communicate by text.

Analyzing a national cancer database, researchers find a bump in diagnoses at 65, suggesting that many wait for Medicare to kick in before they seek care.

Stanford Medicine scientists have devised a smartwatch-based “alarm system” that goes off when it detects signs of infection.

An at-home COVID-19 test, designed by Stanford researchers to be easy to use and provide results within 30 minutes, will be the focus of a study funded by the Stanford Medicine Catalyst Program.