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ParKInsonPredict

Prize: Fellow/scholarshipResearch projects/Networks

Recipients

  • Fraunhofer Institute for Algorithms and Scientific Computing

Description

Identification and prediction of disease progression patterns in Parkinson's disease
Granting OrganisationsFederal Ministry of Education and Research

Related content

Progression subtypes in Parkinson's disease identified by a data-driven multi cohort analysis

Hähnel, T., Raschka, T., Sapienza, S., Klucken, J., Glaab, E., Corvol, J.-C. & Falkenburger, B. H. & 1 others, Fröhlich, H., 2 May 2024, In: NPJ Parkinson's disease. 10, 1, 13 p., 95.

Research output: Contribution to journalResearch articleContributedpeer-review

Parkinson-Progressionstypen: Ergebnisse einer KI-basierten Analyse multipler longitudinaler Kohorten

Hähnel, T., Raschka, T., Sapienza, S., Klucken, J., Glaab, E., corvol, J.-C. & Falkenburger, B. & 1 others, Fröhlich, H., 25 Apr 2024.

Research output: Contribution to conferencesPosterContributed

Predictive Modeling to Uncover Parkinson's Disease Characteristics That Delay Diagnosis

Hähnel, T., Raschka, T., Klucken, J., Glaab, E., Corvol, J.-C., Falkenburger, B. & Fröhlich, H., 13 Mar 2024.

Research output: Preprint/Documentation/ReportPreprint

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

Hähnel, T., Raschka, T., Sapienza, S., Klucken, J., Glaab, E., Corvol, J. & Falkenburger, B. & 1 others, Fröhlich, H., 1 Mar 2024, In: Clinical Neurophysiology. 159, p. e39

Research output: Contribution to journalConference articleContributed

Progressionstypen der Parkinson-Krankheit: Ergebnisse einer KI-basierten Analyse longitudinaler Parkinson-Kohorten

Hähnel, T., Raschka, T., Falkenburger, B. & Fröhlich, H., Nov 2023.

Research output: Contribution to conferencesAbstractContributed