CBS News Interviews Michael Snyder About Our Wearables Research Study and Self-Tracking Your Health Data.

by Stanford Healthcare Innovation Team | May 25, 2022 | COVID-19, Media Spotlight, News, Precision Medicine, Research Study, Technology

“Stanford School of Medicine professor Michael Snyder is conducting several studies to see how far wearables can go in detecting disease. “You don’t drive your car around without a dashboard,” he said. “Yet, here we are as people....

Body Count, how Michael Snyder’s self-monitoring project could transform human health

by Stanford Healthcare Innovation Team | Apr 1, 2022 | Media Spotlight, News

“You prick your fingertip, put it on a sensor, and more biometrics scroll along the glass, all in blue, none in red to flag an anomaly.” This is the future that Michael Snyder, director of the Center for Genomics and Personalized Medicine and chair of the...

Should stethoscopes be displayed in museums?

by Stanford Healthcare Innovation Team | Feb 3, 2022 | Student Feature

The medical profession is closely associated with stethoscopes. For example, googling ‘doctor’ results in images of stethoscopes, or doctors wearing stethoscopes. A 2012 study showed that physicians are much more likely to be regarded as ‘trustworthy’ if they have a...

New machine learning algorithm from Stanford team leads to the discovery of hundreds of potential drug targets for ALS

by Stanford Healthcare Innovation Team | Feb 3, 2022 | New Publication

In this study, Dr. Michael Snyder and his team found nearly seven hundred risk genes related to ALS (Amyotrophic Lateral Sclerosis) using a novel machine learning method, leading to a 5-fold increase in recovered heritability. Their findings give light to...

Stanford’s large-scale, real-time monitoring & alerting system detects 80% of COVID-19 illnesses at or prior to symptom onset

by Stanford Healthcare Innovation Team | Feb 3, 2022 | COVID-19

We are thrilled to announce the recent publication for Phase 2 of our COVID-19 wearable study in Nature Medicine. With the recent emergence of Omicron, it is more important than ever to continue discovering ways to detect abnormal physiological events,...