An iPad app is helping a nonverbal 19-year-old make social connections and express her thoughts and needs as never before.
Scientists who work with the Stanford Precision Health and Integrated Diagnostics Center set out to find new ways to precisely predict, prevent and diagnose diseases that range from diabetes to mental health.
At a time when technology is bringing the world closer together, the practice and potential of sharing patient data is beginning to blur the notion of “rare” diseases, and offer more options for identifying and treating conditions previously considered undiagnosed, panelists at a Stanford conference said.
During a digital health-focused session at the Big Data in Precision Health conference, four speakers detailed the ways in which they're harnessing digital technologies to empower patient health.
Experts from academia, industry government and more came together at this year's Big Data in Precision Health conference to share successes, lessons and insights into how they're breaking down data to precisely advance health care and research.
Mimicking a stem cells' natural environment in the laboratory is impossible without recent bioengineering advances. Stanford scientists reflect on the field and speculate about future possibilities, including growing whole organs.
New Stanford Medicine research found that a compound called d-limonene has the potential to help head and neck cancer patients who suffer from dry mouth.
With half of all cases of Alzheimer's disease and related dementias going undiagnosed, researchers develop app to help in early screening
Dekel Gelbman, CEO of FDNA, speaks on the role of artificial intelligence in health care, and how he sees AI contributing to genetic diagnostic in particular.
Jenna Wiens, an assistant professor at the University of Michigan, speaks to how big data, machine learning and health care intersect in advance of the Big Data in Precision Health conference at Stanford.
A new gene-editing technology enables scientists to make thousands of edits at once and track them with specific barcodes.
Stanford researcher Nigam Shah discusses a new study in which a machine learning system predicts patient outcomes, and he outlines the implications for artificial intelligence in medicine.
Regulatory reform could reduce the bloated documentation requirements facing American physicians and help to reduce rising levels of burnout.
An app-based health training and triaging program spearheaded by Stanford's Ayesha Khan is now in use in India, and has led to the creation of village-based health workers.
Researchers and ePatients at Stanford Medicine X | Ed talk about the benefits and risks of discussing personal health issues online.
Jennifer Schneider, chief medical officer, breaks down her perspective on the intersection of technology and health care in preparation for this year's Big Data in Precision Health conference.