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Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.
Magunia H, Lederer S, Verbuecheln R, Gilot BJ, Koeppen M, Haeberle HA, Mirakaj V, Hofmann P, Marx G, Bickenbach J, Nohe B, Lay M, Spies C, Edel A, Schiefenhövel F, Rahmel T, Putensen C, Sellmann T, Koch T, Brandenburger T, Kindgen-Milles D, Brenner T, Berger M, Zacharowski K, Adam E, Posch M, Moerer O, Scheer CS, Sedding D, Weigand MA, Fichtner F, Nau C, Prätsch F, Wiesmann T, Koch C, Schneider G, Lahmer T, Straub A, Meiser A, Weiss M, Jungwirth B, Wappler F, Meybohm P, Herrmann J, Malek N, Kohlbacher O, Biergans S, Rosenberger P. Magunia H, et al. Among authors: biergans s. Crit Care. 2021 Aug 17;25(1):295. doi: 10.1186/s13054-021-03720-4. Crit Care. 2021. PMID: 34404458 Free PMC article.
Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) - a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke.
Blum C, Baur D, Achauer LC, Berens P, Biergans S, Erb M, Hömberg V, Huang Z, Kohlbacher O, Liepert J, Lindig T, Lohmann G, Macke JH, Römhild J, Rösinger-Hein C, Zrenner B, Ziemann U. Blum C, et al. Among authors: biergans s. BMC Neurol. 2022 Jun 30;22(1):238. doi: 10.1186/s12883-022-02759-2. BMC Neurol. 2022. PMID: 35773640 Free PMC article.
The Drosophila foraging gene human orthologue PRKG1 predicts individual differences in the effects of early adversity on maternal sensitivity.
Sokolowski HM, Vasquez OE, Unternaehrer E, Sokolowski DJ, Biergans SD, Atkinson L, Gonzalez A, Silveira PP, Levitan R, O'Donnell KJ, Steiner M, Kennedy J, Meaney MJ, Fleming AS, Sokolowski MB. Sokolowski HM, et al. Among authors: biergans sd. Cogn Dev. 2017 Apr;42:62-73. doi: 10.1016/j.cogdev.2016.11.001. Epub 2016 Dec 28. Cogn Dev. 2017. PMID: 28827895 Free PMC article.
12 results