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

Kadirvelu B, Gavriel C, Nageshwaran S, Chan JPK, Nethisinghe S, Athanasopoulos S, Ricotti V, Voit T, Giunti P, Festenstein R, Faisal AA

Open source

DOI
10.1038/s41591-022-02159-6
Published
2023 Jan
Container
Nature medicine
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1038/s41591-022-02159-6,
  title = {A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.},
  author = {Kadirvelu B and Gavriel C and Nageshwaran S and Chan JPK and Nethisinghe S and Athanasopoulos S and Ricotti V and Voit T and Giunti P and Festenstein R and Faisal AA},
  year = {2023},
  journal = {Nature medicine},
  doi = {10.1038/s41591-022-02159-6},
  url = {https://doi.org/10.1038/s41591-022-02159-6}
}

RIS

TY  - JOUR
TI  - A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.
AU  - Kadirvelu B
AU  - Gavriel C
AU  - Nageshwaran S
AU  - Chan JPK
AU  - Nethisinghe S
AU  - Athanasopoulos S
AU  - Ricotti V
AU  - Voit T
AU  - Giunti P
AU  - Festenstein R
AU  - Faisal AA
PY  - 2023
JO  - Nature medicine
DO  - 10.1038/s41591-022-02159-6
UR  - https://doi.org/10.1038/s41591-022-02159-6
ER  - 

APA

B, K., C, G., S, N., JPK, C., S, N., S, A., V, R., T, V., P, G., R, F., & AA, F. (2023). A wearable motion capture suit and machine learning predict disease progression in Friedreich's ataxia.. Nature medicine. https://doi.org/10.1038/s41591-022-02159-6

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