News & Research

  • Brain stimulation can improve hypnotizability

    Stanford Medicine scientists used transcranial magnetic stimulation to temporarily enhance hypnotizability in patients with chronic pain, making them better candidates for hypnotherapy.

  • 2023’s top scientific advancements

    Reflecting on the past year, the editors and writers of the Office of Communications picked some of the most significant scientific achievements they covered at Stanford Medicine in 2023.

  • Tachycardia unraveled

    Researchers engineered stem cell-derived heart tissues to study how tachycardia affects the heart and to uncover the inner workings of our body’s engine.

  • AI’s promise, pitfalls

    Leaders from health care, industry and government convened virtually to find ways to ensure artificial intelligence improves care for caregivers as well as patients.

  • Smartwatches diagnose kids’ arrhythmias

    Apple watches have some advantages over traditional ways of diagnosing cardiac arrhythmias in children but need more validation, finds a Stanford Medicine study.

  • Tumor DNA levels in blood predict outcome

    Circulating tumor DNA predicts recurrence and splits disease into two subgroups in Stanford Medicine-led study of Hodgkin lymphoma. New drug targets or changes in treatments may reduce toxicity.

  • Anatomical gift memorial service

    An event to commemorate body donations, “the priceless gift of generosity,” previously only open to faculty, staff and students, is now open to the donors’ loved ones.

  • Organs age at different rates

    A new study led by Stanford Medicine scientists demonstrates a simple way of studying organ aging by analyzing distinct proteins, or sets of them, in blood, enabling the prediction of individuals’ risk for diseases.

  • Human Neural Circuitry program

    Stanford Medicine’s Karl Deisseroth has created a super-charged, multidisciplinary in-patient research program and laboratory to better understand neuropsychiatric disorders — and share those discoveries with the world.

  • Richard Olshen dies at 81

    The Stanford Medicine professor was best known for his work in recursive partitioning, an aspect of machine learning.


2021 ISSUE 1

Addressing racial inequity in medicine

Stanford Medicine's blog about health, medicine, science & innovators.


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