Precision Health

  • Winning studies were chosen by members of the Clinical Research Forum, a nonprofit foundation that promotes the understanding of clinical research and its impact on health and health care.

  • Brain waves can determine drug response

    Researchers used electroencephalography and artificial intelligence to identify individuals who would likely respond to sertraline, the antidepressant marketed as Zoloft.

  • Single number IDs deadly cancer cells

    Stanford data scientists have shown that figuring out a single number can help them find the most dangerous cancer cells.

  • ‘Ageotypes’ show how we age

    Stanford scientists have identified specific biological pathways along which individuals age over time.

  • Stanford Medicine unveils 2020 Health Trends Report

    The report documents key trends steering the industry’s future, including a maturing digital health market, new health laws opening patient access to data, and artificial intelligence gaining regulatory traction for medical use.

  • New Stanford Hospital: The future is here

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

  • E.H.R. event tackles privacy, workload

    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.

  • Cancer-drug combo extends life about 9 months

    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.

  • Possible drug target for cardiomyopathy

    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.

  • Dynamic predictions help patients

    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.

  • Big data, the patient and the provider

    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.

  • Pilot program for precision health

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


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