Researchers at Stanford have created an algorithm that predicts how likely CRISPR gene editing will yield off-target mutations.
Hundreds of Stanford scientists are studying what makes biology tick, from obscure molecular structures in the malaria parasite to flower-shaped sea squirts.
As a freshly minted undergraduate, Kristin Reese had a strange side hustle. With her trusty ice chest, Reese helped collect donor hearts for a research …
Researchers discover a "genomic signature" that flags enlarged prostates, as well as two genes implicated in the development of the condition.
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.
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.
Speakers at Stanford's Big Data in Precision Health conference discuss how their work with big data impacts and informs sleep research.
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.