A Stanford study highlights a data optimization method for health-risk assessments to lower costs and and improve diagnostic power.
Category: Data Sciences
Stanford Medicine magazine explores how digital technology is changing health care
The latest issue of Stanford Medicine magazine explores the potential for digitally driven innovation to transform health education, diagnostics and care.
Big data strikes again — subdividing tumor types to predict patient outcome, personalized treatment
A Stanford team has developed an algorithm that uses data about tumors to identify new classifications that can provide information about patient outcomes
How should an algorithm generate recommendations for patient care?
A Stanford study examines a key aspect of artificial intelligence: If machines provide advice for patient care, who should those machines be learning from?
A roadmap for the future of electronic health records
A new white paper from Stanford Medicine details obstacles and offers solutions for achieving the full potential of electronic health records.
Can genome sequencing be used to predict disease? Quite possibly, new research suggests
Scientists have developed an algorithm that combines genome sequence data and electronic health information to predict risk for genetic disease.
Massive online space game refines protein localization
Citizen science through an online computer game, EVE online, helps scientists better classify protein locations inside a cell.
From AI to clinical informatics, Big Data conference videos offer deeper dive
Video interviews from Stanford's Big Data in Precision Health conference explore topics from artificial intelligence in radiology to clinical informatics.
Citizen science research investigates neighborhoods’ effects on well-being
Researchers engaged citizen scientists to take photos and collect other data to investigate how neighborhoods can affect health.
Realizing the clinical potential of electronic health records
Stanford Medicine's Electronic Health Records National Symposium touched on improving inefficiencies of EHRs, harnessing data for population health management, building on successes and overcoming obstacles.
Most clinical trial participants find benefits of sharing personal data outweigh risks
Most participants in clinical trials believe the benefits of broadly sharing individual data outweigh the risks, a new Stanford study has found.
Outdated equations lead to incorrect prescriptions for cardiovascular conditions
A team of researchers has updated and improved the equations that guide prescribing decisions for physicians in the U.S. regarding cardiovascular risk.
Health data provide insights into rare diseases, say panelists at Big Data in Precision 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.
The digital evolution of health care at Big Data in Precision Health
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.
Elevating everyone at the Big Data in Precision Health conference
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.
Countdown to Big Data in Precision Health: Understanding the hype and the hope for AI in health care
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.