A Stanford researcher talks about navigating the uncertainty of making medical decisions for her 5-year-old son with an undiagnosed genetic disorder.
The 2020 Nobel Prize in Chemistry recognized the scientists who developed the CRISPR-Cas9 gene-editing technology. Here's how it's changing medicine.
Abdominal adhesions frequently occur after abdominal surgery. Stanford researchers prevented their formation in mice by blocking a molecular pathway.
A Stanford-led study finds that remnants of an ancient viral infection may be the reason humans and other primates evolved to have larger hearts and bodies.
Stanford researchers and colleagues have invented a genetic safety mechanism that can deactivate transplanted cells if they change in a problematic way.
Stanford researchers have found a good drug target for treating Diamond-Blackfan anemia, a genetic disease that impairs red blood cell formation.
In breast and lung cancer patients with metastatic disease, seeds of metastasis were often planted before the primary tumor was diagnosed, a study finds.
The experts on Stanford Medicine's molecular tumor board brainstorm new ways to attack individual patients' tumors at the genetic level.
Scientists create a new 3D lung cancer model to better reveal the drivers of cancer, and in doing so, find a new gene that may be a possible drug target.
A team led by Howard Chang has contributed key technology to enable new experimental cancer therapy that uses CRISPR to edit immune cells.
Researchers zeroed in on the genes driving ground squirrel hibernation — and their insights could be helpful for understanding human health.
Scientists develop a technology to find "jumping genes," a type of genetic element that may contribute to antibiotic resistance.
People with a mutation in an enzyme that breaks down alcohol may be at a higher risk for developing Alzheimer's disease, new research suggests.
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.
