Digital demands for chronic disease research and management The Lancet Digital Health ++... ++

Digital demands for chronic disease research and management The Lancet Digital Health https://www.thelancet.com/journals/landig/article/PIIS2589-7500(26)00064-6/fulltext?dgcid=raven_jbs_etoc_email May 2026 Volume 8Number 5 https://www.thelancet.com/journals/landig/issue/vol8no5/PIIS2589-7500(26)X2005-2 Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study Alexander P Landry, MDa,b,c,∗ ∙ Farshad Nassiri, MD PhDa,b,c,∗ ∙ Leeor S Yefet, MDa,b,c ∙ H Lalchungnunga, PhDd ∙ Eldad D Shulman, PhDd ∙ Justin Z Wang, MDa,b,c ∙ et al. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(26)00009-9/fulltext?dgcid=raven_jbs_etoc_feature_landig Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study Christian Holm Johansen, MSca,b,c ∙ Jessica Xin Hjaltelin, PhDa,b,c ∙ Davide Placido, PhDa ∙ Samuel Cadell, BSca,b ∙ Prof Laust Hvas Mortensen, PhDb,c ∙ Prof Frans Boch Waldorff, MDb ∙ et al. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00150-5/fulltext?dgcid=raven_jbs_etoc_feature_landig