Original language | English |
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Journal | Frontiers in psychiatry |
Volume | 13 |
Early online date | 4 Mar 2022 |
DOIs | |
Publication status | E-pub ahead of print - 4 Mar 2022 |
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In: Frontiers in psychiatry, Vol. 13, 04.03.2022.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Concept of the Munich/Augsburg Consortium Precision in Mental Health for the German Center of Mental Health
AU - Falkai, Peter
AU - Koutsouleris, Nikolaos
AU - Bertsch, Katja
AU - Bialas, Mirko
AU - Binder, Elisabeth
AU - Bühner, Markus
AU - Buyx, Alena
AU - Cai, Na
AU - Cappello, Silvia
AU - Ehring, Thomas
AU - Gensichen, Jochen
AU - Hamann, Johannes
AU - Hasan, Alkomiet
AU - Henningsen, Peter
AU - Leucht, Stefan
AU - Möhrmann, Karl Heinz
AU - Nagelstutz, Elisabeth
AU - Padberg, Frank
AU - Peters, Annette
AU - Pfäffel, Lea
AU - Reich-erkelenz, Daniela
AU - Riedl, Valentin
AU - Rueckert, Daniel
AU - Schmitt, Andrea
AU - Schulte-körne, Gerd
AU - Scheuring, Elfriede
AU - Schulze, Thomas G.
AU - Starzengruber, Rudolf
AU - Stier, Susanne
AU - Theis, Fabian J.
AU - Winkelmann, Juliane
AU - Wurst, Wolfgang
AU - Priller, Josef
N1 - Funding Information: This work was funded by the BMBF (DZPG PriMe 01EE2104). Funding Information: PriMe’s translational mindset evolved through an array of national and international research consortia, centers of excellence, several graduate schools, a clear commitment to all aspects of evidence-based psychiatry, and a broad array of implementation approaches. PriMe members broadened the scope of these approaches from the classical “bench-to-bedside” paradigm to concepts of forward and reverse translation and “bench-to-individualized guideline” strategies. These structures not only permit a seamless translation of novel preclinical approaches to clinical care but also enable a reverse, “guideline-to-bench” translation. PriMe fully supports translational research in the DZPG with infrastructures that cover the entire translational chain. These infrastructures include outstanding platforms for the identification of risk factors (multi-omics technologies), the production and analysis of predictive human cellular and humanized animal models, drug discovery, highly specialized imaging tools, centralized biobanks, comprehensive patient cohorts, and an extensive network of clinical trial centers led by the Munich Study Center (MSZ). PriMe’s specific contributions to DZPG research hubs include the central biorepository and datasets of the German National Cohort study (NAKO Gesundheitsstudie), the open-access German Mouse Clinic (GMC), the outstanding neuroimmunology hub (e.g., SyNergy Excellence cluster), the Leibniz Supercomputing Center (LRZ), strong artificial intelligence (AI)ML analysis platforms, NTBS facilities, comprehensive clinical trial and patient-recruitment infrastructures, and excellence in EBM via a Cochrane Review Group. Built in 2001, the GMC was the first platform worldwide () for systematic phenotyping and has advanced to a well-established and unique center for state-of-the-art mouse phenotyping. The GMC is an open-access phenotyping platform characterizing mouse models for human diseases in multiple body systems and physiological pathways in a variety of therapeutic areas. Its collaboration with more than 170 groups has resulted in more than 200 highly cited publications on neurodevelopmental and disorder-related phenotypes, advances in modeling abnormal neurodegenerative and aging patterns [with the German Center for Neurodegenerative Diseases (DZNE)], and diabetes models (with the German Center for Diabetes Research [DZD]). Founded in 1962, the LRZ is the IT service provider for PriMe partners and serves as a hub for other research organizations in Bavaria. LRZ is located in the Munich Metropolitan Area and is one of the three national members of the Gauss Center for Supercomputing, the High-Performance Computing Center Stuttgart (HLRS), and the Jülich Supercomputing Center. Helmholtz AI has established a network of method specialists (AI consultants) for short- and mid-term collaborations. The Helmholtz AI computing resources are available for all collaborative projects on identifying biomarkers and patient groups at risk for chronicity. The TUM Institute for AI and Informatics in Medicine ( AIIM@TUM ) is leading DIFUTURE, one of the four consortia funded by the BMBF, during the development and networking phase of the Medical Informatics Initiative. Its infrastructure and AI expertise will support the advanced analysis of preclinical and clinical data in a secure, federated, and privacy-preserving manner. Publisher Copyright: Copyright © 2022 Falkai, Koutsouleris, Bertsch, Bialas, Binder, Bühner, Buyx, Cai, Cappello, Ehring, Gensichen, Hamann, Hasan, Henningsen, Leucht, Möhrmann, Nagelstutz, Padberg, Peters, Pfäffel, Reich-Erkelenz, Riedl, Rueckert, Schmitt, Schulte-Körne, Scheuring, Schulze, Starzengruber, Stier, Theis, Winkelmann, Wurst and Priller.
PY - 2022/3/4
Y1 - 2022/3/4
U2 - 10.3389/fpsyt.2022.815718
DO - 10.3389/fpsyt.2022.815718
M3 - Article
SN - 1664-0640
VL - 13
JO - Frontiers in psychiatry
JF - Frontiers in psychiatry
ER -