Leaders from Stanford and Palo Alto spoke at the ceremony dedicating the 824,000-square-foot medical facility, which opens in November.
The latest type 1 diabetes technology improves the stability of patients' blood sugar levels throughout the day and during sleep, according to a new trial.
Stanford Medicine pulmonologist Mark Nicolls is working with Nobel winner Gregg Semenza to boost the success of lung transplants.
A Stanford biomedical data scientist discusses how computational modeling of big data could help improve personalized chemotherapy selection in the future.
A new approach to biobanking that streamlines sample storage and processing is enabling Stanford scientists and doctors to pursue new lines of research.
Through genetic tests and databases of symptoms, doctors in a network of clinical centers help families determine what is affecting their children's health.
A mathematician and his team used computational methods to improve efficiency at outpatient infusion center at Lucile Packard Children's Hospital Stanford.
Researchers at Stanford are mining millions of de-identified patient records using machine learning to determine long-term safety of medical devices.
At the Stanford Medicine X | CHANGE conference, patient innovators describe ways they can use their expertise to help others.
Away from the headlines about organ donation, living donors often encounter challenges that get overlooked, like lost wages and insurance battles.
Entrepreneurs and scientists gathered at Stanford recently to discuss how to use scientific discoveries to launch startups and improve patient care.
Grace Anne Dorney Koppel and Ted Koppel aim to raise awareness and funding for Chronic Obstructive Pulmonary Disease at Stanford Medicine X | CHANGE event.
Inspired by personal experience, Stanford Medicine's Megan Mahoney devised a primary care pilot to center around patients and their goals.
At a recent talk on campus, Amy Abernethy, an FDA principal deputy commissioner, discussed her career and her work to facilitate clinical advances.
Researchers at Stanford have devised an algorithm that predicts how likely a diagnostic test, when repeated, will yield useful information.
The new Stanford Medicine magazine examines value, with a focus on disease detection, patient-doctor relationships and the latest health technology.