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Privacy-aware multi-institutional time-to-event studies.
Späth J, Matschinske J, Kamanu FK, Murphy SA, Zolotareva O, Bakhtiari M, Antman EM, Loscalzo J, Brauneck A, Schmalhorst L, Buchholtz G, Baumbach J. Späth J, et al. Among authors: matschinske j. PLOS Digit Health. 2022 Sep 6;1(9):e0000101. doi: 10.1371/journal.pdig.0000101. eCollection 2022 Sep. PLOS Digit Health. 2022. PMID: 36812603 Free PMC article.
Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing.
Sadegh S, Matschinske J, Blumenthal DB, Galindez G, Kacprowski T, List M, Nasirigerdeh R, Oubounyt M, Pichlmair A, Rose TD, Salgado-Albarrán M, Späth J, Stukalov A, Wenke NK, Yuan K, Pauling JK, Baumbach J. Sadegh S, et al. Among authors: matschinske j. Nat Commun. 2020 Jul 14;11(1):3518. doi: 10.1038/s41467-020-17189-2. Nat Commun. 2020. PMID: 32665542 Free PMC article.
The AIMe registry for artificial intelligence in biomedical research.
Matschinske J, Alcaraz N, Benis A, Golebiewski M, Grimm DG, Heumos L, Kacprowski T, Lazareva O, List M, Louadi Z, Pauling JK, Pfeifer N, Röttger R, Schwämmle V, Sturm G, Traverso A, Van Steen K, de Freitas MV, Villalba Silva GC, Wee L, Wenke NK, Zanin M, Zolotareva O, Baumbach J, Blumenthal DB. Matschinske J, et al. Nat Methods. 2021 Oct;18(10):1128-1131. doi: 10.1038/s41592-021-01241-0. Nat Methods. 2021. PMID: 34433960 Free article. No abstract available.
Flimma: a federated and privacy-aware tool for differential gene expression analysis.
Zolotareva O, Nasirigerdeh R, Matschinske J, Torkzadehmahani R, Bakhtiari M, Frisch T, Späth J, Blumenthal DB, Abbasinejad A, Tieri P, Kaissis G, Rückert D, Wenke NK, List M, Baumbach J. Zolotareva O, et al. Among authors: matschinske j. Genome Biol. 2021 Dec 14;22(1):338. doi: 10.1186/s13059-021-02553-2. Genome Biol. 2021. PMID: 34906207 Free PMC article.
Privacy-Preserving Artificial Intelligence Techniques in Biomedicine.
Torkzadehmahani R, Nasirigerdeh R, Blumenthal DB, Kacprowski T, List M, Matschinske J, Spaeth J, Wenke NK, Baumbach J. Torkzadehmahani R, et al. Among authors: matschinske j. Methods Inf Med. 2022 Jun;61(S 01):e12-e27. doi: 10.1055/s-0041-1740630. Epub 2022 Jan 21. Methods Inf Med. 2022. PMID: 35062032 Free PMC article.
sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies.
Nasirigerdeh R, Torkzadehmahani R, Matschinske J, Frisch T, List M, Späth J, Weiss S, Völker U, Pitkänen E, Heider D, Wenke NK, Kaissis G, Rueckert D, Kacprowski T, Baumbach J. Nasirigerdeh R, et al. Among authors: matschinske j. Genome Biol. 2022 Jan 24;23(1):32. doi: 10.1186/s13059-021-02562-1. Genome Biol. 2022. PMID: 35073941 Free PMC article.
Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.
Wolff J, Matschinske J, Baumgart D, Pytlik A, Keck A, Natarajan A, von Schacky CE, Pauling JK, Baumbach J. Wolff J, et al. Among authors: matschinske j. J Integr Bioinform. 2022 Sep 5;19(4):20220032. doi: 10.1515/jib-2022-0032. eCollection 2022 Dec 1. J Integr Bioinform. 2022. PMID: 36054833 Free PMC article.
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Cao H, Zhang Y, Baumbach J, Burton PR, Dwyer D, Koutsouleris N, Matschinske J, Marcon Y, Rajan S, Rieg T, Ryser-Welch P, Späth J; COMMITMENT Consortium; Herrmann C, Schwarz E. Cao H, et al. Among authors: matschinske j. Bioinformatics. 2022 Oct 31;38(21):4919-4926. doi: 10.1093/bioinformatics/btac616. Bioinformatics. 2022. PMID: 36073911 Free PMC article.
15 results