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Progression subtypes in Parkinson's disease: Results of an AI-based multi-cohort analysis

Year: 2024

Type: article

Source: Clinical Neurophysiology

DOI: 10.1016/j.clinph.2023.12.095

Authors: T. Hähnel, T. Raschka, S. Sapienza, J. Klucken, E. Glaab, J. Corvol, B. Falkenburger, H. Fröhlich

Institutions: Fraunhofer Institute for Algorithms and Scientific Computing, University Hospital Carl Gustav Carus, Technische Universität Dresden, University of Bonn, Bonn Aachen International Center for Information Technology, University of Luxembourg, Luxembourg Institute of Health, Luxembourg Centre for Systems Biomedicine, Centre Hospitalier de Luxembourg, Centre National de la Recherche Scientifique, Inserm, Sorbonne Université, Institut des Sciences Moléculaires, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Institut du Cerveau, German Center for Neurodegenerative Diseases, German Center for Neurodegenerative Diseases (DZNE) Dresden

Language: English

Topic: Parkinson's Disease Mechanisms and Treatments

Subfield: Clinical Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4392299142

FWCI:

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