The cost of branded pharmaceuticals and quality and availability of generic versions are two key issues facing the U.S. marketplace.
September is Suicide Prevention Month and mental health experts at Stanford Medicine have important information to share.
The applications for AI in medicine are being explored deeply at Stanford Medicine and elsewhere. Putting guardrails in place now is crucial.
Stanford Medicine scientists devised a cancer imaging technology that opens doors to new research questions and precision medicine.
Researchers compared diets and found that some people responded better to different types of nutrition when it comes to weight loss.
Stanford Medicine magazine explores the molecules behind human biology and how understanding them fuels medical discoveries and innovations.
Researchers are using data science to home in on therapies that will work best for specific patients, advancing precision oncology.
Stanford researchers are developing a faster way to match each ulcerative colitis patient with the treatment that will work best for them.
Using a new approach that harnesses the power of precision, Stanford Medicine researchers are devising new ways to treat depression.
A Stanford-led study of twins with and without food allergies has uncovered differences in the fecal bacteria of allergic and non-allergic individuals.
Stanford Medicine researchers found that, based on genetic makeup, 99.5% of people are likely to have an atypical response to at least one drug.
MicroRNA in the blood holds clues to heart problems in adults born with tetralogy of Fallot, a type of congenital heart disease, Stanford research shows.
The 2020 Nobel Prize in Chemistry recognized the scientists who developed the CRISPR-Cas9 gene-editing technology. Here's how it's changing medicine.
Scientists have created an AI tool to help doctors more precisely choose colorectal cancer treatments that will work best on individual patients.
A smartphone add-on, devised by an emergency medicine physician now at Stanford, detected a drunken stagger, through side-to-side sway, with 90% accuracy.
Researchers have developed a sensor system on a smartwatch that uses sweat to determine the level of acetaminophen in the body.
