A Stanford-led study surveys the time biomedical researchers spend on reformatting manuscripts — estimating a $1 billion annual global labor cost.
Jason Melehani, a resident in internal medicine, has had a long and eclectic career path toward developing new therapies to treat tobacco smokers.
A study from Stanford researchers finds that food labels that highlight tastiness can improve healthy eating among students at five colleges.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
Caregiver depression in rural China is unexpectedly pervasive and harmful to children's health. A Stanford team is working to help.
Using neuroimaging and machine learning, researchers were able to predict whether antidepressants would help individual patients.
A Stanford study investigates the barriers to controlling parasitic disease and possible interventions beyond mass drug and education campaigns.
Researchers have identified five types of concussions, which have different symptoms and initial treatments. All can disturb sleep.
A new clinic at Stanford Health Care for cancer survivors is designed to integrate primary care with health after cancer.
A new study finds chronic irradiation causes physiological and behavioral deficits in mice, pointing to potential health risks to humans traveling to Mars.
A new Stanford study shows that people incorrectly think cigarettes with ecofriendly packaging are healthier and less harmful to the environment.
Stanford researchers watch in real time bacteria building their protective outer shell. Their findings may help develop treatments for bacterial pathogens.
Stanford researchers are working to develop a diagnostic blood test that can accurately predict preeclampsia prior to the onset of clinical symptoms.
A Stanford neurobiologist continues with his challenge of explaining neuroscience in a series of brief videos on Instagram — for an entire year.
Stanford researchers develop a simplified method for decoding electrical activity in the brain, which could lead in the future to improved prosthetics.
Stanford researchers develop a machine-learning computer model for mammography assessment in hopes of aiding radiologists’ clinical decisions.