Article
Demichev V, Tober-Lau P, Nazarenko T, Lemke O, Aulakh SK, Whitwell HJ, Röhl A, Freiwald A, Mittermaier M, Szyrwiel L, Ludwig D, Correia-Melo C, Lippert LJ, Helbig ET, Stubbemann P, Olk N, Thibeault C, Grüning NM, Blyuss O, Vernardis S, White M, Messner CB, et al. and Ralser M
PLOS Digital Health
Longitudinal measurements identify protein trajectories that differ between survivors and non-survivors, and a multivariate predictor is tested in an independent cohort.
The study is a clear example of combining high-throughput proteomics and machine learning for clinical prognosis.
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