Jim M. Smit, Jesse H. Krijthe, Andrei N. Tintu, Henrik Endeman, Jeroen Ludikhuize, Michel E. van Genderen, Diederik A.M.P.J. Gommers, Sesmu M. Arbous, Marcel J.T. Reinders, More Authors (2022), Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study, In Intensive Care Medicine Experimental Volume 10.

Skander Tahar Mulder, Amir-Houshang Omidvari, Anja J. Rueten-Budde, Rihan Hai, Can Akgün, David M.J. Tax, M.J.T. Reinders, Marcel Reinders, Valentijn Visch, More Authors (2022), Dynamic Digital Twin: Diagnosis, Treatment, Prediction, and Prevention of Disease During the Life Course, In Journal of Medical Internet Research Volume 24.

J. M. Smit, J. H. Krijthe, D.A.M.P.J. Gommers, M. J.A. Kamps, A. D. Cornet, M. S. Arbous, D. P. De Bruin, J. Van Bommel, M. J.T. Reinders, More Authors (2022), Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study, In Intelligence-Based Medicine Volume 6.

H. Holstege, M.J. Hulsman, Camille Charbonnier, Banjamin Grenier-Boley, Olivier Quenez, Detelina Grozeva, Jeroen G.J. van Rooij, M.J.T. Reinders, S.J. van der Lee, More Authors (2022), Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease, In Nature Genetics Volume 54 p.1786-1794.

Michiel Bongaerts, Ramon Bonte, Serwet Demirdas, Hidde H. Huidekoper, Janneke Langendonk, Martina Wilke, Walter de Valk, Henk J. Blom, Marcel J.T. Reinders, George J.G. Ruijter (2022), Integration of metabolomics with genomics: Metabolic gene prioritization using metabolomics data and genomic variant (CADD) scores, In Molecular Genetics and Metabolism Volume 136 p.199-218.

Arman Naseri Jahfari, David Tax, Marcel Reinders, Ivo van der Bilt (2022), Machine Learning for Cardiovascular Outcomes from Wearable Data: Systematic Review from a Technology Readiness Level Point of View, In JMIR Medical Informatics.

Anna Niehues, Daniele Bizzarri, Marcel J.T. Reinders, P. Eline Slagboom, Alain J. van Gool, Erik B. van den Akker, Peter A.C. 't Hoen (2022), Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies, In BMC Genomics Volume 23.

D. Bizzarri, M.J.T. Reinders, M. Beekman, P. E. Slagboom, E.B. van den Akker (2022), MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health's ¹H-NMR metabolomics data, In Bioinformatics Volume 38 p.3847-3849.

S.J. van der Lee, I. De Rojas, H. Holstege, M. Hulsman, M.J.T. Reinders, N. Tesi, Jeroen van Rooij, Y. Zhao, X. Zhang, More Authors (2022), New insights into the genetic etiology of Alzheimer’s disease and related dementias, In Nature Genetics Volume 54 p.412-436.

Fatih A. Bogaards, Thies Gehrmann, Marian Beekman, Erik Ben van den Akker, Ondine van de Rest, Roland W.J. Hangelbroek, Raymond Noordam, Simon P. Mooijaart, Marcel J.T. Reinders, More Authors (2022), PLIS: A metabolomic response monitor to a lifestyle intervention study in older adults, In FASEB journal : official publication of the Federation of American Societies for Experimental Biology Volume 36 p.e22578.