Keyword - C-Peptide

An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study.
Slieker, Roderick C; Münch, Magnus; Donnelly, Louise A; Bouland, Gerard A; Dragan, Iulian; Kuznetsov, Dmitry; Elders, Petra J M; Rutter, Guy A; Ibberson, Mark; Pearson, Ewan R; 't Hart, Leen M; van de Wiel, Mark A; Beulens, Joline W J
Diabetologia, Volume 67, Issue 5 (2024)
PMID: 38374450 DOI: 10.1007/s00125-024-06105-8 
Citations: 9 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: DCS | Study: GoDARTS

Replication and cross-validation of type 2 diabetes subtypes based on clinical variables: an IMI-RHAPSODY study.
Slieker, Roderick C; Donnelly, Louise A; Fitipaldi, Hugo; Bouland, Gerard A; Giordano, Giuseppe N; Åkerlund, Mikael; Gerl, Mathias J; Ahlqvist, Emma; Ali, Ashfaq; Dragan, Iulian; Festa, Andreas; Hansen, Michael K; Mansour Aly, Dina; Kim, Min; Kuznetsov, Dmitry; Mehl, Florence; Klose, Christian; Simons, Kai; Pavo, Imre; Pullen, Timothy J; Suvitaival, Tommi; Wretlind, Asger; Rossing, Peter; Lyssenko, Valeriya; Legido-Quigley, Cristina; Groop, Leif; Thorens, Bernard; Franks, Paul W; Ibberson, Mark; Rutter, Guy A; Beulens, Joline W J; 't Hart, Leen M; Pearson, Ewan R
Diabetologia, Volume 64, Issue 9 (2021)
PMID: 34110439 DOI: 10.1007/s00125-021-05490-8 
Citations: 62 (Scopus)
Tags: Consortia: IMI-RHAPSODY | Study: ANDIS | Study: DCS | Study: GoDARTS