31 Epizód

  1. Self-guided digital interventions for individuals at risk of suicide

    Közzétéve: 2019. 11. 28.

  2. A machine learning model for early identification of individuals with familial hypercholesterolaemia

    Közzétéve: 2019. 10. 22.

  3. Wearable real-time monitoring of penicillin in human volunteers

    Közzétéve: 2019. 10. 01.

  4. Machine learning in first-episode psychosis

    Közzétéve: 2019. 09. 13.

  5. Automated deep learning design in medical diagnosis

    Közzétéve: 2019. 09. 10.

  6. Deep learning diagnosis of glaucoma

    Közzétéve: 2019. 08. 09.

  7. Health IT failures and their effect on patient care

    Közzétéve: 2019. 06. 23.

  8. Predicting the survival of patients in intensive care

    Közzétéve: 2019. 05. 24.

  9. Mapping disease across lifespan

    Közzétéve: 2019. 05. 21.

  10. Closed-loop insulin delivery systems for patients with diabetes

    Közzétéve: 2019. 04. 29.

  11. Introducing The Lancet Digital Health

    Közzétéve: 2019. 01. 22.

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Rupa Sarkar, Editor-in-Chief, Diana Samuel, Deputy Editor, Lucy Dunbar, Senior Editor, and Gustavo Monnerat, Senior Editor at The Lancet Digital Health, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, healthcare, and health policy. A monthly audio companion to this open access journal, this podcast covers a broad range of topics, from using machine learning to predict mortality in prostate cancer and the need for feminist intersectionality in digital health, to how algorithms can predict a patient's race from medical data, and more.

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