Dr. Tom Hähnel
Person

Affiliations

Department of Neurology
- Academic Staff
- tom.haehnel@tu-dresden.de

Research interests

Clinical use of AI and Machine Learning in Parkinson's disease and other movement disorders

Expertise

Parkinson's disease, Movement disorders
AI & Data science, Disease progression modeling

Highlights

MD thesis (2021): Erweiterung eines mathematischen Modells der Chronischen Myeloischen Leukämie mit einer immunologischen Komponente
ParKInsonPredict (2023-2024, BMBF-Grant): Identification and prediction of disease progression patterns in Parkinson's disease

External positions

Visiting Scientist, Fraunhofer Institute for Algorithms and Scientific Computing

1 Jan 2023 → 2024

Identification Numbers

ORCID	0000-0002-4254-2399
Scopus author ID	57219956121

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease

Brzenczek, C., Klopfenstein, Q., Hähnel, T., Fröhlich, H., Glaab, E. & NCER-PD Consortium, 6 Sept 2024, In: npj digital medicine. 7, 1, 235.

Research output: Contribution to journal › Research article › Contributed › peer-review

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 othersFröhlich, H., 2 May 2024, In: NPJ Parkinson's disease. 10, 1, 13 p., 95.

Research output: Contribution to journal › Research article › Contributed › peer-review

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

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

Research output: Contribution to conferences › Poster › Contributed

Wie die Umsetzung einer Schule für Menschen mit Parkinson-Krankheit gelingen kann – Ergebnisse eines Konsensusverfahrens und einer formativen Evaluation

Gerschel, T., Prokop, S., Schulze, L., Feige, T., Zschieschang, A., Barbe, M. T., Bitterlich, R., & 22 othersCaffier, J., Csoti, I., Eggers, C., Gaßner, H., Gülke, E., Hähnel, T., Herbst, H., Jochim, A., Kiparski, A., Klietz, M., Liel, A. V., Lingor, P., Loewenbrück, K., Maetzler, W., Pürner, D., Riesen, C. V., Schmitz-Pfeiffer, H., Süß, T., Tönges, L., Weiß, D., Wolz, M. & Falkenburger, B., 14 Mar 2024, In: Der Nervenarzt. 95 (2024), 6, p. 539-543 5 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

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/Report › Preprint

View all research output (18)

Digital Biomarkers in PD: Diagnosis and Symptom Monitoring using Speech, Gait, and Cognitive Assessments

Hähnel, T. (Speaker), Raschka, T. (Speaker), Thies, T. (Speaker), Feige, T. (Speaker)

26 Apr 2024

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

Parkinson Progression Subtypes: Results of an AI-based Analysis of Multiple Longitudinal Cohorts

Hähnel, T. (Speaker)

25 Apr 2024

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

Summer School Ost der Deutschen Gesellschaft für Neurologie (DGN) 2023

Hähnel, T. (Organiser), Lapp, H. S. (Organiser), Weber, C. A. M. (Organiser)

21 Aug 2023 → 25 Aug 2023

Activity: Organising or participating in an event › Organising an event

Fraunhofer Institute for Algorithms and Scientific Computing

Hähnel, T. (Visitor)

1 Jan 2023 → 30 Jun 2024

Activity: Visiting external institutions › Research stay

DGN Summer School Neurologie Dresden

Hähnel, T. (Organiser), Lapp, H. S. (Organiser), Weber, C. A. M. (Organiser)

22 Aug 2022 → 26 Aug 2022

Activity: Organising or participating in an event › Organising an event

View all activities (5)

View all prizes (4)

Research Portal of the TU Dresden

Dr. Tom Hähnel
Person

Affiliations

Research interests

Expertise

Highlights

External positions

Identification Numbers

Related content

Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson’s disease

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

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

Wie die Umsetzung einer Schule für Menschen mit Parkinson-Krankheit gelingen kann – Ergebnisse eines Konsensusverfahrens und einer formativen Evaluation

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

Digital Biomarkers in PD: Diagnosis and Symptom Monitoring using Speech, Gait, and Cognitive Assessments

Parkinson Progression Subtypes: Results of an AI-based Analysis of Multiple Longitudinal Cohorts

Summer School Ost der Deutschen Gesellschaft für Neurologie (DGN) 2023

Fraunhofer Institute for Algorithms and Scientific Computing

DGN Summer School Neurologie Dresden

Poster prize of the German Parkinson Congress 2024

ParKInsonPredict

Carl Gustav Carus award for outstanding scientific publication 2020

Carl Gustav Carus award for outstanding academic achievements