Skip to content

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.

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.

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.

Stanford researchers pinpointed boarding schools in rural regions of China's Sichuan province as key spots for intervention against a potentially-fatal tapeworm infection.

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.

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.

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.

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.

Cancer survivor Ali Zidel Meyers reflects on joining a cancer writing group and how it helped her and others through their experience.

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.

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.

The president of the Association of American Medical Colleges details factors that contribute to physician burnout and broad cultural changes that can help.

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.

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.

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.

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.

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.