Data from an at-home device through the Humanwide project help a patient and his primary care team discover hypertension that wasn't detected at the clinic.
A patient worried that cancer may run in her family finds answers through genetic testing offering by Stanford Medicine's Humanwide project.
Through the Humanwide project, a patient's pharmacogenomic evaluation helped doctors prescribe a pain reliever that is effective for her individual biology.
Stephen Montgomery, a Stanford associate professor of pathology and of genetics, describes how he uses RNA to understand health.
Scientists monitored 106 individuals (some of whom have prediabetes) to see how the condition, and infections, impact immune-and-microbiome-related health.
Six episodes explain the Stanford Medicine pilot project, which used patient data to create personalized health plans addressing concerns and risks.
At day two of the Big Data in Precision Health conference, DJ Patil shared how he discovered data science and was hired by the Obama administration.
At the Big Data in Precision Health conference, clinicians discussed using patient health data to enhance primary care through the Humanwide pilot project.
Speakers at Stanford's Big Data in Precision Health conference discuss how their work with big data impacts and informs sleep research.
Stanford Medicine's Big Data in Precision Health conference unites people who create, study and use information from big data to improve health.
Eddie Shakerpour wanted to feel better, so he joined Humanwide, a Stanford Medicine pilot that used data to create personalized, preventive care plans.
Before the Big Data in Precision Health conference, Don Rucker, the national coordinator for health IT, discusses the government's role in health data.
Stanford Medicine's Humanwide pilot project offers a promising model for personalized, patient-centered, data-driven primary care.
Stanford scientists and their collaborators tracked the health of over 100 people for several years, flagging early signs of disease.
Ahead of the Big Data in Precision Health conference, Emma Huang from Johnson & Johnson Innovations discusses collaborations between industry and academia.
Maja Matarić, a robiticist at the University of Southern California, plans to speak about socially assistive robotics at Big Data in Precision Health.