A Stanford anesthesiologist co-founded a volunteer organization that maps COVID-19 testing locations and displays updated data about the pandemic.
People taking two common types of drugs for hypertension are at no heightened risk, as has been feared, for increased severity or complications of COVID-19.
Scientists created an algorithm that analyzes a cancer biopsy and pairs spatial information with gene expression to better understand the disease.
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.
Technology has made it possible for Stanford Medicine residents to continue learning and caring for patients safely during the COVID-19 era.
Ethical and legal issues accompany the potential benefits of using computer vision-based ambient intelligence in health care.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
Through genetic tests and databases of symptoms, doctors in a network of clinical centers help families determine what is affecting their children's health.
Researchers at Stanford are mining millions of de-identified patient records using machine learning to determine long-term safety of medical devices.
At a recent talk on campus, Amy Abernethy, an FDA principal deputy commissioner, discussed her career and her work to facilitate clinical advances.
Researchers at Stanford have devised an algorithm that predicts how likely a diagnostic test, when repeated, will yield useful information.
Stanford researchers develop a machine-learning computer model for mammography assessment in hopes of aiding radiologists’ clinical decisions.
In this In the Spotlight Q&A, radiology instructor Ahmed Nagy El Kaffas shares how a best friend and a trip to China shaped his early career.
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.
At the Big Data in Precision Health conference, clinicians discussed using patient health data to enhance primary care through the Humanwide pilot project.
Speakers at Stanford's Big Data in Precision Health conference discuss how their work with big data impacts and informs sleep research.
