Researchers are using data science to home in on therapies that will work best for specific patients, advancing precision oncology.
Researchers are using a new artificial intelligence-based program to help identify genes that underly diseases.
Stanford Medicine biomedical data scientist weighs in on the role of data as we respond to the pandemic and prepare for the future.
Stanford Medicine researchers have found a new way to stabilize mRNA molecules, something that could boost COVID vaccines.
Stanford Medicine researcher John Ioannidis calls for transparency and the sharing of data, a lesson learned through COVID-19.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
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.
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.
