This issue contains stories behind the development of the new hospital as well as articles about the work being done there.

Speakers at Stanford Medicine’s second symposium on electronic health records discussed ways to increase patients’ access to data while maintaining security and decreasing the documentation burden for physicians.

The results of a phase-3 clinical trial led by a Stanford researcher showed that two targeted treatments can extend the lifespan and delay the need for chemotherapy in women with a common type of metastatic breast cancer.

Stanford researchers have uncovered how a genetic mutation contributes to a heart disease known as familial dilated cardiomyopathy. Existing drugs correct the defect in heart cells grown in a petri dish, suggesting a new therapeutic target.

Using in-game win probability techniques, Stanford researchers devised a way to better predict a cancer patient’s outcome at any point during treatment. The approach could also inform treatment decisions.

Invisible sensors, machine learning for disease diagnoses, big data in the clinic and more took the stage as topics at this year’s Big Data in Precision Health Conference.

A Stanford clinical trial that provided proactive, personalized care to participants detected overlooked health conditions and risks.

Years-long tracking of individuals’ biology helped define what it meant for them to be healthy and showed how changes from the norm could signal disease, a Stanford-led study reports.

Stanford scientists and their collaborators have devised an algorithm to predict the risk of a disease that, untreated, can lead to heart attack or stroke.

Clinicians may be able to determine whether people with post-traumatic stress disorder will respond to psychotherapy by analyzing a key brain network and memory, according to Stanford researchers.