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Data-derived wearable digital biomarkers predict Frataxin gene expression levels and longitudinal disease progression in Friedreich’s Ataxia

Title data

Faisal, A. Aldo ; Kadirvelu, Balasundaram ; Gavriel, Constantinos ; Nageshwaran, Sathiji ; Chan, Jackson Ping Kei Jackson ; Athanasopoulos, Stavros ; Giunti, Paola ; Ricotti, Valeria ; Voit, Thomas ; Festenstein, Richard:
Data-derived wearable digital biomarkers predict Frataxin gene expression levels and longitudinal disease progression in Friedreich’s Ataxia.
Research Square , 2021
DOI: https://doi.org/10.21203/rs.3.rs-737100/v1

Further data

Item Type: Preprint, postprint
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
Result of work at the UBT: No
DDC Subjects: 600 Technology, medicine, applied sciences
Date Deposited: 21 Aug 2023 07:37
Last Modified: 21 Aug 2023 07:37
URI: https://eref.uni-bayreuth.de/id/eprint/86624