Before the Big Data in Precision Health conference, Don Rucker, the national coordinator for health IT, discusses the government's role in health data.
Inspired by his son's illness, Ron Davis and colleagues have discovered a diagnostic test for chronic fatigue syndrome, a notoriously elusive disease.
Scientists at Stanford and beyond are working toward a new type of tuberculosis diagnostic that utilizes blood samples.
Ahead of the Big Data in Precision Health conference, Emma Huang from Johnson & Johnson Innovations discusses collaborations between industry and academia.
Scientists from the MyHeart Counts research study have released data from 50,000 participants to enable additional investigations.
NASA and collaborating institutes, including Stanford, have examined the molecular and genetic differences between two twin astronauts.
Stanford researchers have created an algorithm to detect familial hypercholesterolemia, a hard-to-diagnose genetic disease.
Stanford scientists and collaborators have harnessed CRISPR to replace the mutated gene underpinning the devastating immune disease, SCID-X1.
Maja Matarić, a robiticist at the University of Southern California, plans to speak about socially assistive robotics at Big Data in Precision Health.
New research has found that many regions of Mexico lack genetic counselors; increased outreach and training could help, Stanford researcher suggests.
By scouting for a particular immune cell in the blood, scientists can tell which patients with a lung-scarring disease are at higher risk for death.
The seventh annual Big Data in Precision Health conference will be held May 22 and 23 on the Stanford campus; registration is now open.
Scientists have modified immune cells, imbuing them with the ability to not only detect, but reveal, the presence of a tumor.
Scientists studying cell death are working to understand how the body protects itself from disease and use that information to form better treatments.
Documenting the safest routes to walk to school through a phone app can increase the likelihood that kids will bike or walk to class.
Scientists at Stanford have developed a tool that helps them track "off-target" gene edits that come as an accidental result of gene editing.