Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy

Artificial intelligence has the potential to revolutionize healthcare, yet clinical trials in neurological diseases continue to rely on subjective, semiquantitative and motivation-dependent endpoints for drug development. To overcome this limitation, we collected a digital readout of whole-body move...

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Detalles Bibliográficos
Autores principales: Ricotti, Valeria, Kadirvelu, Balasundaram, Selby, Victoria, Festenstein, Richard, Mercuri, Eugenio, Voit, Thomas, Faisal, A. Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873561/
https://www.ncbi.nlm.nih.gov/pubmed/36658421
http://dx.doi.org/10.1038/s41591-022-02045-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873561/
https://www.ncbi.nlm.nih.gov/pubmed/36658421
http://dx.doi.org/10.1038/s41591-022-02045-1

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