News
Sep 26 2018
The Stanford Neurosciences Institute has chosen four new projects for its second round of Big Ideas initiatives, which funds major interdisciplinary research initiatives aimed at driving the next breakthroughs in brain science.
Sep 20 2018
Navigation is an essential computational skill that is closely related to memory and learning, and getting lost is an early symptom of Alzheimer’s, so it’s important to understand how it works.
Sep 20 2018 | Stanford Medicine - News Center
Stanford Children’s Health and the Children’s Health Council have launched RISE, an intensive mental health outpatient program for adolescents ages 14-18.
Sep 19 2018 | NeuWrite West
Philosophy, the love of knowledge, and science, the pursuit and application of knowledge, are kind of like siblings. Sometimes they fight, but most of the time they get along quite well. This is to show how the two relate to one another by developing two stories.
Sep 19 2018 | Stanford Medicine - Scope
JUUL is the most popular "stealth" vaping device and is a huge fad, particularly among teenagers. Stealth e-cigarettes are clever vapor devices disguised as USB sticks, mobile phones, car fobs, remote controls, and even asthma inhalers to hide their use from parents and teachers, said Robert...
Sep 19 2018 | Stanford Medicine - Scope
t’s not about playing God or acting nefarious. It’s about doctors being able to help patients die on their own terms, as comfortably as possible, having received the best, most appropriate care.
Sep 17 2018 | Stanford Medicine - Scope
A caring volunteer neurosurgeon may help fill in, but when is the last time that this doc saw a 5-year-old with diarrhea and PTSD?
Sep 14 2018 | NeuWrite West
Based on what we do know about the nature of dreams and our brains, it is more likely that our sleeping brain recycles previously seen faces rather than creating new ones.
Sep 12 2018 | Stanford Medicine
Can machine learning bring more humanity to health care?
Sep 11 2018 | Stanford Medicine - Scope
As artificial intelligence continues to evolve, algorithms will be capable of performing clinical tasks — like diagnosing disease — much faster and with greater accuracy than any human physician.
