ey0019.10-6 | New paradigms | ESPEYB19
BC Kwon
, V Anand
, P Achenbach
, JL Dunne
, W Hagopian
, J Hu
, E Koski
, AE Lernmark
, M Lundgren
, K Ng
, J Toppari
, R Veijola
, BI Frohnert
T1DI Study Group. Nat Commun. 2022 Mar 21;13(1):1514. https://pubmed.ncbi.nlm.nih.gov/35314671/Brief Summary: This study of 5 birth cohorts of individuals at high risk for type 1 diabetes (T1D) used machine learning methods to explore trajectories from autoantibodies appearance to T1D progression. They identified 11 distinct latent health states and individuals progressed according to one o...