06

  • 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.

  • Sleep problems linked to more suicidal thoughts

    Among young adults at risk for suicide, highly variable sleep patterns may augur an increase in suicidal symptoms, independent of depression, a study from Stanford has found.

  • Helping women identify their risk for cancer

    Researchers assigned levels of risk to 25 mutations associated with breast and ovarian cancer in a large, Stanford-led study. The results may be helpful in guiding treatment and screening recommendations.

  • Cardiology care for A-fib linked to lower stroke risk

    Patients with the irregular heart rhythm known as atrial fibrillation who got early cardiology care had a reduced risk of stroke, probably because they were more likely to be prescribed anticoagulants, Stanford researchers found.

  • Center for Digital Health awards first grants

    The grant-winning projects are designed to study whether creative uses of the Apple Watches can achieve meaningful health care outcomes.

  • Employee website launched

    Stanford Medicine Connected aims to make it easier for employees to find resources, news, cultural events and classes across the university.

  • Physician wellness expert joins Stanford Medicine

    Tait Shanafelt, MD, will become Stanford Medicine’s first chief wellness officer at a time when physician burnout is a national epidemic.

  • Young scientists win Parker Institute awards

    The awards are designed to help train the next generation of scientists in cancer immunotherapy by supporting promising young researchers doing innovative work that has the potential for great impact.

  • New technology provides rare diagnosis

    Stanford scientists have used a next-generation technology called long-read sequencing to diagnose a patient’s rare genetic condition that current technology failed to diagnose.

  • Awards honor excellent teaching, patient care

    Stanford Medicine faculty, staff, residents and students were honored for teaching and clinical skills.


2023 ISSUE 3

Exploring ways AI is applied to health care