Fröhlich H - Search Results

1

Bayesian network modeling of risk and prodromal markers of Parkinson's disease.

Sood M, Suenkel U, von Thaler AK, Zacharias HU, Brockmann K, Eschweiler GW, Maetzler W, Berg D, Fröhlich H, Heinzel S. Sood M, et al. Among authors: frohlich h. PLoS One. 2023 Feb 24;18(2):e0280609. doi: 10.1371/journal.pone.0280609. eCollection 2023. PLoS One. 2023. PMID: 36827273 Free PMC article.

2

L-dopa increases α-synuclein DNA methylation in Parkinson's disease patients in vivo and in vitro.

Schmitt I, Kaut O, Khazneh H, deBoni L, Ahmad A, Berg D, Klein C, Fröhlich H, Wüllner U. Schmitt I, et al. Among authors: frohlich h. Mov Disord. 2015 Nov;30(13):1794-801. doi: 10.1002/mds.26319. Epub 2015 Jul 14. Mov Disord. 2015. PMID: 26173746

3

Dynamic Bayesian Network Modeling of the Interplay between EGFR and Hedgehog Signaling.

Fröhlich H, Bahamondez G, Götschel F, Korf U. Fröhlich H, et al. PLoS One. 2015 Nov 16;10(11):e0142646. doi: 10.1371/journal.pone.0142646. eCollection 2015. PLoS One. 2015. PMID: 26571415 Free PMC article.

4

Deep learning for clustering of multivariate clinical patient trajectories with missing values.

de Jong J, Emon MA, Wu P, Karki R, Sood M, Godard P, Ahmad A, Vrooman H, Hofmann-Apitius M, Fröhlich H. de Jong J, et al. Among authors: frohlich h. Gigascience. 2019 Nov 1;8(11):giz134. doi: 10.1093/gigascience/giz134. Gigascience. 2019. PMID: 31730697 Free PMC article.

5

Realistic simulation of virtual multi-scale, multi-modal patient trajectories using Bayesian networks and sparse auto-encoders.

Sood M, Sahay A, Karki R, Emon MA, Vrooman H, Hofmann-Apitius M, Fröhlich H. Sood M, et al. Among authors: frohlich h. Sci Rep. 2020 Jul 3;10(1):10971. doi: 10.1038/s41598-020-67398-4. Sci Rep. 2020. PMID: 32620927 Free PMC article.

6

Clustering of Alzheimer's and Parkinson's disease based on genetic burden of shared molecular mechanisms.

Emon MA, Heinson A, Wu P, Domingo-Fernández D, Sood M, Vrooman H, Corvol JC, Scordis P, Hofmann-Apitius M, Fröhlich H. Emon MA, et al. Among authors: frohlich h. Sci Rep. 2020 Nov 5;10(1):19097. doi: 10.1038/s41598-020-76200-4. Sci Rep. 2020. PMID: 33154531 Free PMC article.

7

Variational Autoencoder Modular Bayesian Networks for Simulation of Heterogeneous Clinical Study Data.

Gootjes-Dreesbach L, Sood M, Sahay A, Hofmann-Apitius M, Fröhlich H. Gootjes-Dreesbach L, et al. Among authors: frohlich h. Front Big Data. 2020 May 28;3:16. doi: 10.3389/fdata.2020.00016. eCollection 2020. Front Big Data. 2020. PMID: 33693390 Free PMC article.

8

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. Among authors: frohlich h. 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.

9

Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data.

Narimani Z, Beigy H, Ahmad A, Masoudi-Nejad A, Fröhlich H. Narimani Z, et al. Among authors: frohlich h. PLoS One. 2017 Feb 6;12(2):e0171240. doi: 10.1371/journal.pone.0171240. eCollection 2017. PLoS One. 2017. PMID: 28166542 Free PMC article.

10

Remote monitoring technologies in Alzheimer's disease: design of the RADAR-AD study.

Muurling M, de Boer C, Kozak R, Religa D, Koychev I, Verheij H, Nies VJM, Duyndam A, Sood M, Fröhlich H, Hannesdottir K, Erdemli G, Lucivero F, Lancaster C, Hinds C, Stravopoulos TG, Nikolopoulos S, Kompatsiaris I, Manyakov NV, Owens AP, Narayan VA, Aarsland D, Visser PJ; RADAR-AD Consortium. Muurling M, et al. Among authors: frohlich h. Alzheimers Res Ther. 2021 Apr 23;13(1):89. doi: 10.1186/s13195-021-00825-4. Alzheimers Res Ther. 2021. PMID: 33892789 Free PMC article.

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