Topic List : Precision Health
Distinguishing features of high-value care
Two novel Stanford studies have uncovered attributes of high-quality, low-cost care for cancer and primary care patients.
Chest X-ray algorithm
Stanford researchers have developed a deep-learning algorithm that evaluates chest X-rays for signs of disease.
Study upends heart-valve replacement guidelines
The benefits of a mechanical valve compared with a biological valve persist until the age of 70 for mitral-valve replacement, according to a new Stanford study.
Stanford Medicine leaders talk successes, future
The annual town hall meeting brought hundreds of faculty and staff together at the Li Ka Shing Center for Learning and Knowledge to hear from the leaders of the two hospitals and medical school, as well as ask them questions.
Biomedical study seeks participants
The large-scale study of what causes health and disease is enrolling participants at Stanford. All are welcome to apply. In particular, the project is seeking ethnic minorities and individuals with an increased risk of disease.
Brain tumor growth stopped
High-grade gliomas, a group of aggressive brain tumors, cease growing in mice if a signaling molecule called neuroligin-3 is absent or its activity is blocked with drugs, a Stanford team has shown.
Stanford Medicine magazine reports on vision
The magazine’s summer issue highlights new strategies to protect and restore sight. It also includes an essay by bestselling author Joyce Maynard on life during her husband’s battle with cancer.
Center for Definitive and Curative Medicine created
The new Stanford Center for Definitive and Curative Medicine will work to turn discoveries into stem cell and gene therapies to aid the millions of people who have genetic diseases.
Which autistic kids does oxytocin help?
The brain hormone may help treat social impairments in children with autism whose baseline oxytocin levels are low before treatment, according to new Stanford findings.
Predicting, preventing a second stroke
Using health records, Stanford researchers developed an algorithm for scoring the risk of a stroke patient experiencing a heart condition known as atrial fibrillation, a major risk factor for a second stroke.