The Lancet Digital Health in conversation with Podcast Artwork Image

The Lancet Digital Health in conversation with

The Lancet Group

Rupa Sarkar, Editor-in-Chief, Diana Samuel, Deputy Editor, and Lucy Dunbar, 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.

Episodes
Judith Bonnes on detecting cardiac arrest using wearable technologyMarch 07, 2024
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Andrew Soltan on federated learning systemsJanuary 24, 2024
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Mamatha Bhat on deep learning for predicting liver graft fibrosisMay 23, 2023
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Xiao Liu on AI-based clinical research studiesMarch 21, 2023
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Ashleigh Myall on predicting hospital-onset COVID-19 infectionsJuly 19, 2022
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Reading raceMay 11, 2022
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Caroline Figueroa on the need for feminist intersectionality in digital healthJuly 26, 2021
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Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancerFebruary 15, 2021
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Vence Bonham on diversity and impact in genomic researchDecember 02, 2020
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Deepti Gurdasani on health data, AI, and COVID-19December 02, 2020
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Maimuna S Majumder on COVID-19 misinformation onlineOctober 26, 2020
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Sara Gerke and Timo Minssen on AI in healthcareJune 23, 2020
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Identifying and measuring brain lesions in patients with traumatic brain injuryMay 14, 2020
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The Lancet Digital Health turns oneApril 29, 2020
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A real-time dashboard of clinical trials for COVID-19April 24, 2020
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Opportunistic value of fully automated CT-based biomarkersMarch 04, 2020
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Predicting the added benefit of adjuvant chemotherapyFebruary 19, 2020
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Using Fitbit data to predict flu outbreaksJanuary 16, 2020
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Self-guided digital interventions for individuals at risk of suicideNovember 28, 2019
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A machine learning model for early identification of individuals with familial hypercholesterolaemiaOctober 22, 2019
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Wearable real-time monitoring of penicillin in human volunteersOctober 01, 2019
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Machine learning in first-episode psychosisSeptember 14, 2019
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Automated deep learning design in medical diagnosisSeptember 10, 2019
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Deep learning diagnosis of glaucomaAugust 09, 2019
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Health IT failures and their effect on patient careJune 23, 2019
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