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Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression.
Koutsouleris N, Dwyer DB, Degenhardt F, Maj C, Urquijo-Castro MF, Sanfelici R, Popovic D, Oeztuerk O, Haas SS, Weiske J, Ruef A, Kambeitz-Ilankovic L, Antonucci LA, Neufang S, Schmidt-Kraepelin C, Ruhrmann S, Penzel N, Kambeitz J, Haidl TK, Rosen M, Chisholm K, Riecher-Rössler A, Egloff L, Schmidt A, Andreou C, Hietala J, Schirmer T, Romer G, Walger P, Franscini M, Traber-Walker N, Schimmelmann BG, Flückiger R, Michel C, Rössler W, Borisov O, Krawitz PM, Heekeren K, Buechler R, Pantelis C, Falkai P, Salokangas RKR, Lencer R, Bertolino A, Borgwardt S, Noethen M, Brambilla P, Wood SJ, Upthegrove R, Schultze-Lutter F, Theodoridou A, Meisenzahl E; PRONIA Consortium. Koutsouleris N, et al. JAMA Psychiatry. 2021 Feb 1;78(2):195-209. doi: 10.1001/jamapsychiatry.2020.3604. JAMA Psychiatry. 2021. PMID: 33263726 Free PMC article.
CSF metabolic and proteomic profiles in patients prodromal for psychosis.
Huang JT, Leweke FM, Tsang TM, Koethe D, Kranaster L, Gerth CW, Gross S, Schreiber D, Ruhrmann S, Schultze-Lutter F, Klosterkötter J, Holmes E, Bahn S. Huang JT, et al. PLoS One. 2007 Aug 22;2(8):e756. doi: 10.1371/journal.pone.0000756. PLoS One. 2007. PMID: 17712404 Free PMC article.
223 results