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Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health, and Diana Samuel, Senior Editor, speak to the journal’s authors to explore their research and its impact on people’s health, health care, and health policy in this regular podcast.

The Lancet Digital Health


    • May 8, 2025 LATEST EPISODE
    • infrequent NEW EPISODES
    • 17m AVG DURATION
    • 31 EPISODES


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    Latest episodes from In conversation with...

    Hugo Aerts and Ray Mak on FaceAge

    Play Episode Listen Later May 8, 2025 22:30


    Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer.Read the full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landigContinue this conversation on social!Follow us today at...https://thelancet.bsky.social/https://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Mohamed Omar on pathology and generative AI

    Play Episode Listen Later Aug 27, 2024 18:24


    Mohamed Omar joins The Lancet Digital Health to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.Read the full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landigContinue this conversation on social!Follow us today at...https://twitter.com/thelancethttps://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Judith Bonnes on detecting cardiac arrest using wearable technology

    Play Episode Listen Later Mar 7, 2024 17:22


    Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.Read the full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landigContinue this conversation on social!Follow us today at...https://twitter.com/thelancethttps://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Andrew Soltan on federated learning systems

    Play Episode Listen Later Jan 24, 2024 14:18


    Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.Continue this conversation on social!Follow us today at...https://twitter.com/thelancethttps://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Mamatha Bhat on deep learning for predicting liver graft fibrosis

    Play Episode Listen Later May 23, 2023 20:16


    Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.Read the full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landigContinue this conversation on social!Follow us today at...https://twitter.com/thelancethttps://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Xiao Liu on AI-based clinical research studies

    Play Episode Listen Later Mar 21, 2023 21:41


    Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets.Continue this conversation on social!Follow us today at...https://twitter.com/thelancethttps://instagram.com/thelancetgrouphttps://facebook.com/thelancetmedicaljournalhttps://linkedIn.com/company/the-lancethttps://youtube.com/thelancettv

    Ashleigh Myall on predicting hospital-onset COVID-19 infections

    Play Episode Listen Later Jul 19, 2022 18:40


    Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.Read the full article:Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact

    Reading race

    Play Episode Listen Later May 11, 2022 31:41


    Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.

    Caroline Figueroa on the need for feminist intersectionality in digital health

    Play Episode Listen Later Jul 26, 2021 13:16


    Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health. Read the full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext

    Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer

    Play Episode Listen Later Feb 15, 2021 20:44


    Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer.Read full article:https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext

    Deepti Gurdasani on health data, AI, and COVID-19

    Play Episode Listen Later Dec 2, 2020 24:28


    Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19.

    Vence Bonham on diversity and impact in genomic research

    Play Episode Listen Later Dec 2, 2020 8:08


    Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies.

    Maimuna S Majumder on COVID-19 misinformation online

    Play Episode Listen Later Oct 26, 2020 7:08


    Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public's online search interests, and the potential impact this can have on their health.

    Sara Gerke and Timo Minssen on AI in healthcare

    Play Episode Listen Later Jun 23, 2020 24:28


    Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission's white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare.

    Identifying and measuring brain lesions in patients with traumatic brain injury

    Play Episode Listen Later May 14, 2020 15:02


    Virginia Newcombe and Miguel Monteiro join Rupa Sarkar to discuss their work on a deep learning algorithm to quantify and distinguish between brain lesion types in head CT images of patients with traumatic brain injury.

    The Lancet Digital Health turns one

    Play Episode Listen Later Apr 29, 2020 33:05


    To celebrate the journal's anniversary, the Editors and International Advisory Board members of The Lancet Digital Health reflect on the major digital advances transforming medicine and healthcare in the past year and the role of digital health in mitigating the COVID-19 pandemic.

    A real-time dashboard of clinical trials for COVID-19

    Play Episode Listen Later Apr 24, 2020 21:32


    Dr. Louis Dron and Dr Samuel talk about an online dashboard that collates all clinical trials investigating treatments for COVID-19, and discuss the broader implications of its use.

    Opportunistic value of fully automated CT-based biomarkers

    Play Episode Listen Later Mar 4, 2020 13:47


    Prof Perry Pickhardt and Diana Samuel talk about the prognostic abilities of a panel of automated CT-based biomarkers for predicting future risk of serious adverse events.

    Predicting the added benefit of adjuvant chemotherapy

    Play Episode Listen Later Feb 19, 2020 20:02


    Prof Anant Madabhushi and Dr Samuel talk about the utility of a radiomic risk score applied to CT scans of patients with early stage non-small cell lung carcinoma.

    Using Fitbit data to predict flu outbreaks

    Play Episode Listen Later Jan 16, 2020 19:09


    Dr Jennifer Radin and Dr Rupa Sarkar talk about using heart rate and sleep data from Fitbit devices to predict influenza-like illness activity in the US.

    Self-guided digital interventions for individuals at risk of suicide

    Play Episode Listen Later Nov 28, 2019 15:57


    Professor Helen Christensen and Dr Rupa Sarkar talk about evidence for effective digital interventions to support people at risk of suicide.

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

    Play Episode Listen Later Oct 22, 2019 13:47


    Katherine Wilemon and Kelly Myers join Christina Wayman from The Lancet Digital Health to discuss the potential of precision screening of individuals with familial hypercholesterolaemia.

    Wearable real-time monitoring of penicillin in human volunteers

    Play Episode Listen Later Oct 1, 2019 17:49


    Dr Timothy Rawson and Dr Rupa Sarkar talk about precision antibiotic optimisation and the arms race against microbes.

    Machine learning in first-episode psychosis

    Play Episode Listen Later Sep 13, 2019 16:53


    Dr. Pavan Mallikarjun joins Christina Wayman to discuss a new machine learning approach for predicting symptom remission, recovery, and quality of life outcomes in patients with first-episode psychosis.

    Automated deep learning design in medical diagnosis

    Play Episode Listen Later Sep 10, 2019 19:21


    Professor Pearse Keane joins Dr Rupa Sarkar to discuss an automated tool for clinicians to learn deep learning design for medical image classification.

    Deep learning diagnosis of glaucoma

    Play Episode Listen Later Aug 9, 2019 13:26


    Dr Carol Cheung and Dr An-ran Ran join Rupa Sarkar to discuss their new deep learning approach using 3D information from optical coherence tomography scans of the optic and retinal nerve to detect glaucomatous damage, an indicator of glaucoma.

    Health IT failures and their effect on patient care

    Play Episode Listen Later Jun 23, 2019 9:22


    Guy Martin joins Christina Wayman to discuss an analysis of 13 million safety event reports in England and Wales and their implications on future-proofing IT infrastructure in healthcare.

    Predicting the survival of patients in intensive care

    Play Episode Listen Later May 24, 2019 15:26


    Søren Brunak joins Christina Wayman, Senior Editor at The Lancet Digital Health, to discuss a machine learning model that can predict mortality of patients admitted to intensive care from both long-term disease history and baseline admission data.

    Mapping disease across lifespan

    Play Episode Listen Later May 21, 2019 28:07


    Valerie Kuan joins Rupa Sarkar, Editor-in-Chief of The Lancet Digital Health to discuss how electronic health records of almost 4 million individuals can be analysed to understand what diseases affect individuals at each stage of life.

    Closed-loop insulin delivery systems for patients with diabetes

    Play Episode Listen Later Apr 29, 2019 6:38


    Pierre-Yves Benhamou joins The Lancet Digital Health to discuss the potential for a new hybrid closed-loop artificial pancreas system to improve glucose control in in adults with type 1 diabetes.

    Introducing The Lancet Digital Health

    Play Episode Listen Later Jan 22, 2019 9:43


    Editor-in-Chief Rupa Sarkar and Senior Editor Christina Wayman discuss the aims and scope of the new journal.

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