In his quest to cure his daughter’s ultra-rare disease, Matt Wilsey might also be changing the way drugs are made, Stanford Business magazine reports.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
Through genetic tests and databases of symptoms, doctors in a network of clinical centers help families determine what is affecting their children's health.
Scientists have used CRISPR-Cas9 screens to reveal more about how the bacteria behind Legionnaire's disease infects humans.
Mammalian cells use a label to distinguish self from non-self circular RNA molecules. Foreign molecules can trigger anti-cancer immune responses.
Scientists have used CRISPR-Cas9 gene editing technology to decipher the genes critical to the success of a type of cancer drug, antibody-drug conjugates.
Scientists at Stanford use a gene therapy technique, called RNA silencing, to treat a heart condition called restrictive cardiomyopathy in mice.
A Stanford scientist and his son harness RNA sequencing to discover the genomic mutation behind the uncommon California poppy.
Stanford scientists have found 16 new genetic variants linked to a greater risk for autism, a finding that could help identify biomarkers for the disorder.
Researchers at Stanford have created an algorithm that predicts how likely CRISPR gene editing will yield off-target mutations.
This In the Spotlight features Helio Costa, a geneticist who has developed an assay currently being used to help cancer patients.
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 …
A method that broadens the pool of potential donors for stem cell transplants recently saved two young brothers from a severe genetic disease.
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.
A Stanford researcher explains that genome-wide association studies of psychiatric disorders are far more reliable than older, smaller genetic studies.