The Lancet Digital Health in conversation with

30 Episodes

1. Mohamed Omar on pathology and generative AI

   Published: 8/27/2024
2. Judith Bonnes on detecting cardiac arrest using wearable technology

   Published: 3/7/2024
3. Andrew Soltan on federated learning systems

   Published: 1/24/2024
4. Mamatha Bhat on deep learning for predicting liver graft fibrosis

   Published: 5/23/2023
5. Xiao Liu on AI-based clinical research studies

   Published: 3/21/2023
6. Ashleigh Myall on predicting hospital-onset COVID-19 infections

   Published: 7/19/2022
7. Reading race

   Published: 5/11/2022
8. Caroline Figueroa on the need for feminist intersectionality in digital health

   Published: 7/26/2021
9. Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer

   Published: 2/15/2021
10. Deepti Gurdasani on health data, AI, and COVID-19

    Published: 12/2/2020
11. Vence Bonham on diversity and impact in genomic research

    Published: 12/2/2020
12. Maimuna S Majumder on COVID-19 misinformation online

    Published: 10/26/2020
13. Sara Gerke and Timo Minssen on AI in healthcare

    Published: 6/23/2020
14. Identifying and measuring brain lesions in patients with traumatic brain injury

    Published: 5/14/2020
15. The Lancet Digital Health turns one

    Published: 4/29/2020
16. A real-time dashboard of clinical trials for COVID-19

    Published: 4/24/2020
17. Opportunistic value of fully automated CT-based biomarkers

    Published: 3/4/2020
18. Predicting the added benefit of adjuvant chemotherapy

    Published: 2/19/2020
19. Using Fitbit data to predict flu outbreaks

    Published: 1/16/2020
20. Self-guided digital interventions for individuals at risk of suicide

    Published: 11/28/2019