The Lancet Digital Health in conversation with

Hugo Aerts and Ray Mak on FaceAge

Mohamed Omar on pathology and generative AI

Judith Bonnes on detecting cardiac arrest using wearable technology

Andrew Soltan on federated learning systems

Mamatha Bhat on deep learning for predicting liver graft fibrosis

Xiao Liu on AI-based clinical research studies

Ashleigh Myall on predicting hospital-onset COVID-19 infections

Reading race

Caroline Figueroa on the need for feminist intersectionality in digital health

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

Vence Bonham on diversity and impact in genomic research

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

Maimuna S Majumder on COVID-19 misinformation online

Sara Gerke and Timo Minssen on AI in healthcare

Identifying and measuring brain lesions in patients with traumatic brain injury

The Lancet Digital Health turns one

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

Opportunistic value of fully automated CT-based biomarkers

Predicting the added benefit of adjuvant chemotherapy

Using Fitbit data to predict flu outbreaks

Self-guided digital interventions for individuals at risk of suicide

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

Wearable real-time monitoring of penicillin in human volunteers

Machine learning in first-episode psychosis

Automated deep learning design in medical diagnosis

Deep learning diagnosis of glaucoma

Health IT failures and their effect on patient care

Predicting the survival of patients in intensive care

Mapping disease across lifespan

Closed-loop insulin delivery systems for patients with diabetes

Introducing The Lancet Digital Health