Precision health for everyone.
MyPHD launches
The Stanford Personal Health Dashboard (PHD) platform is an open-source, end-to-end solution for biomedical research projects that require integrating wearable and clinical data.
SDO launches
Stanford Data Ocean is the first serverless precision medicine educational platform for people of all experience levels to explore important questions.
Pandemic to Protection: The COVID-19 Vaccine Evolution
Adam Zaidi, a high school student, explains the development and scientific innovation behind the mRNA COVID-19 vaccines.
Research Unraveled: Effects of an Immersive Psychosocial Training Program on Depression and Well-being: A Randomized Clinical Trial
Badri Viswanathan, a high school student, dives into our lab's publication on a novel intervention for depression and well being.
Exposures Research Study
We seek to identify and evaluate the environmental and workplace exposures using comprehensive exposome analysis methods and the combination of metabolomics data to identify occupational exposures that may impact human health. Join this study to help further research on the exposome and learn more about your own exposures in your home and workplace.
Michael Snyder, PhD, President Biden and Rob Moritz, PhD, supporting healthcare, science and genetic research at the highest level
Supporting Hupo.org, Presdient Biden met with Michael Snyder, PhD and Rob Moritz to support science progress and the life-saving effects of Dr. Michael Snyder’s ground breaking research in preventing diseases and key discoveries improving human health.
A cancer-associated RNA polymerase III identity drives robust transcription and expression of snaR-A noncoding RNA
Results from this research support a model in which Pol III identity functions as an important transcriptional regulatory mechanism. Upregulation of POLR3G, which is driven by MYC, identifies a subgroup of patients with unfavorable survival outcomes in specific cancers, further implicating the POLR3G-enhanced transcription repertoire as a potential disease
factor.
CBS News Interviews Michael Snyder About Our Wearables Research Study and Self-Tracking Your Health Data.
“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. We’re more important than cars, but we’re running around without any sensors, most people. And we should be wearing these things, in my opinion, because they can alert you to early things.”
Pandemic to Protection: The COVID-19 Vaccine Evolution
Adam Zaidi, a high school student, explains the development and scientific innovation behind the mRNA COVID-19 vaccines.
Research Unraveled: Effects of an Immersive Psychosocial Training Program on Depression and Well-being: A Randomized Clinical Trial
Badri Viswanathan, a high school student, dives into our lab's publication on a novel intervention for depression and well being.
Exposures Research Study
We seek to identify and evaluate the environmental and workplace exposures using comprehensive exposome analysis methods and the combination of metabolomics data to identify occupational exposures that may impact human health. Join this study to help further research on the exposome and learn more about your own exposures in your home and workplace.
ABOUT SHIL
The Healthcare Innovation Lab at Stanford Medicine is building the future of precision medicine. Our Mission is to accelerate precision health technology research and development as well as the clinical adoption. Our medical innovators lead the field at the intersection of computer science and biology.
The New York Times
In This Doctor’s Office, a Physical Exam Like No Other
Time
Stanford Medicine
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Subscribers receive pre-print access to our COVID-19 wearables study, research study participation opportunities, invitations to SHIL events and more!
COVID-19 Wearables Study
We are trying to find out if information from wearable devices, like Fitbit and Apple Watch, can be used to track infectious diseases like COVID-19. We hope to be able to predict the onset even before any symptoms start.
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Subscribers receive pre-print access to our COVID-19 wearables study, research study participation opportunities, investigations to SHIL events, and more!
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