Promoted to News Center home page.
At the recent Stanford Women's Health Forum, Kate Shaw, a clinical associate professor of obstetrics and gynecology, spoke about the evolution and history of birth control.
In this first-person piece, medical student Steve Zhang argues that medicine is intractable and unpredictable, and luck plays a larger role than one might think.
Stanford researchers pinpointed boarding schools in rural regions of China's Sichuan province as key spots for intervention against a potentially-fatal tapeworm infection.
Dekel Gelbman, CEO of FDNA, speaks on the role of artificial intelligence in health care, and how he sees AI contributing to genetic diagnostic in particular.
Stanford's Keith Humphreys and other academics relay lessons from experiences writing for mass media outlets, such as The New York Times and The Wall Street Journal.
The sex ratio of a social group can influence the risk of getting an infectious disease as much as, and sometimes more, than an individual's traits, a Rice University study finds.
Stanford's David Ouyang sifted through more than a million texts to find out if clinicians inadvertently endorse brand-name medications over less expensive generic alternatives.
When Ron Gross needed a bone marrow transplant, an international donor stepped in, providing a gift that led to a lifelong friendship.
Cancer survivor Ali Zidel Meyers reflects on joining a cancer writing group and how it helped her and others through their experience.
Ron Dror and colleagues used computer simulations and lab experiments to better understand G-protein-coupled receptors, which are critical to drug development. In the future, they hope to use this knowledge to design drugs with fewer side effects.
The president of the Association of American Medical Colleges details factors that contribute to physician burnout and broad cultural changes that can help.
First-year medical student Orly Farber shares lessons learned after hearing about a loved one's disease.
The U.S. Preventive Services Task Force is now recommending that men aged 55 to 69 should talk with their doctors about prostate-specific antigen screening.
Jenna Wiens, an assistant professor at the University of Michigan, speaks to how big data, machine learning and health care intersect in advance of the Big Data in Precision Health conference at Stanford.
A new gene-editing technology enables scientists to make thousands of edits at once and track them with specific barcodes.
Stanford researcher Nigam Shah discusses a new study in which a machine learning system predicts patient outcomes, and he outlines the implications for artificial intelligence in medicine.
