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Year | Number of Results |
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2021 | 1 |
2022 | 2 |
2023 | 2 |
2024 | 0 |
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Machine learning models for predicting severe COVID-19 outcomes in hospitals.
Inform Med Unlocked. 2023;37:101188. doi: 10.1016/j.imu.2023.101188. Epub 2023 Feb 1.
Inform Med Unlocked. 2023.
PMID: 36742350
Free PMC article.
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations.
Wendland P, Birkenbihl C, Gomez-Freixa M, Sood M, Kschischo M, Fröhlich H.
Wendland P, et al.
NPJ Digit Med. 2022 Aug 20;5(1):122. doi: 10.1038/s41746-022-00666-x.
NPJ Digit Med. 2022.
PMID: 35986075
Free PMC article.
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A machine learning method for the identification and characterization of novel COVID-19 drug targets.
Schultz B, DeLong LN, Masny A, Lentzen M, Raschka T, van Dijk D, Zaliani A; COPERIMOplus; Fröhlich H.
Schultz B, et al.
Sci Rep. 2023 May 3;13(1):7159. doi: 10.1038/s41598-023-34287-5.
Sci Rep. 2023.
PMID: 37137934
Free PMC article.
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SEEDS: data driven inference of structural model errors and unknown inputs for dynamic systems biology.
Newmiwaka T, Engelhardt B, Wendland P, Kahl D, Fröhlich H, Kschischo M.
Newmiwaka T, et al. Among authors: wendland p.
Bioinformatics. 2021 Jun 9;37(9):1330-1331. doi: 10.1093/bioinformatics/btaa786.
Bioinformatics. 2021.
PMID: 32931565
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External Validation of COVID-19 Risk Scores during Three Waves of Pandemic in a German Cohort-A Retrospective Study.
Häger L, Wendland P, Biergans S, Lederer S, de Arruda Botelho Herr M, Erhardt C, Schmauder K, Kschischo M, Malek NP, Bunk S, Bitzer M, Gladstone BP, Göpel S.
Häger L, et al. Among authors: wendland p.
J Pers Med. 2022 Oct 28;12(11):1775. doi: 10.3390/jpm12111775.
J Pers Med. 2022.
PMID: 36579493
Free PMC article.
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