Topic List : Precision Health
Molecular data categorizes breast cancers
Some breast cancers return decades later. Now, a researcher at Stanford, joined by collaborators at several other institutions, has subcategorized tumors to predict recurrence, guide treatment decisions and improve drug development.
Gentler pre-transplant treatment with antibody
An antibody to a protein on blood-forming stem cells may allow bone marrow transplants without the need for chemotherapy and radiation, according to a Stanford study.
The perspective of a nurse-scientist
A nurse-scientist at Lucile Packard Children’s Hospital Stanford has discovered a passion for science, and advocates for bringing the nursing perspective into clinical research.
Genes that predict severe dengue fever
Stanford researchers have identified 20 genes that can predict an individual’s likelihood of developing a severe form of dengue fever with about 80 percent accuracy.
Urine test for bladder cancer
The researchers found that by testing for fragments of cancer DNA in urine, they could find the cancer in early stages of development, when it’s easier to treat.
Stanford Medicine’s 2018 Health Trends Report
The report finds a rapid increase in the volume and utility of health-related data, creating an opportunity to democratize health care.
Algorithm success in screening for disease
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
Stanford Medicine magazine and high-tech
Stanford Medicine is applying high-tech approaches to reshape medical research, training, diagnostics and treatment — without losing the essential human touch.
Using ultrasound to release drug
Stanford researchers used focused ultrasound to pry molecules of an anesthetic loose from nanoparticles. The drug’s release modified activity in brain regions targeted by the ultrasound beam.
Stanford, Apple describe heart-rhythm study
Over 400,000 people have enrolled in a study being conducted by researchers at Stanford and Apple to determine whether a wearable technology can identify irregular heart rhythms suggestive of atrial fibrillation.