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A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia

Title data

Kadirvelu, Balasundaram ; Gavriel, Constantinos ; Nageshwaran, Sathiji ; Chan, Jackson Ping Kei ; Nethisinghe, Suran ; Athanasopoulos, Stavros ; Ricotti, Valeria ; Voit, Thomas ; Giunti, Paola ; Festenstein, Richard ; Faisal, A. Aldo:
A wearable motion capture suit and machine learning predict disease progression in Friedreich’s ataxia.
In: Nature Medicine. Vol. 29 (2023) Issue 1 . - pp. 86-94.
ISSN 1546-170X
DOI: https://doi.org/10.1038/s41591-022-02159-6

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal
Faculties
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences
Date Deposited: 17 Aug 2023 09:07
Last Modified: 30 Oct 2023 12:36
URI: https://eref.uni-bayreuth.de/id/eprint/86593