Achieving more equitable health outcomes calls for understanding and addressing societal challenges in places we live, work and play.
Researchers at Stanford Medicine are putting together a guide for principled implementation of artificial intelligence in health care.
Researchers conducted a study to look back at 50 years of innovation, tracking how trends in technology have changed.
Researchers are addressing bias in algorithms that detect dermatology diseases by adding more diverse skin tone images to data sets.
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.
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.
