At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.

Gupta AS, Patel S, Premasiri A, Vieira F.

Open source

DOI: 10.1038/s41467-023-40917-3
Published: 2023-08-21
Container: Nat Commun
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41467-023-40917-3,
  title = {At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.},
  author = {Gupta AS and  Patel S and  Premasiri A and  Vieira F.},
  year = {2023},
  journal = {Nat Commun},
  doi = {10.1038/s41467-023-40917-3},
  url = {https://doi.org/10.1038/s41467-023-40917-3}
}

RIS

TY  - JOUR
TI  - At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.
AU  - Gupta AS
AU  -  Patel S
AU  -  Premasiri A
AU  -  Vieira F.
PY  - 2023
JO  - Nat Commun
DO  - 10.1038/s41467-023-40917-3
UR  - https://doi.org/10.1038/s41467-023-40917-3
ER  -

APA

AS, G., S, P., A, P., & F., V. (2023). At-home wearables and machine learning sensitively capture disease progression in amyotrophic lateral sclerosis.. Nat Commun. https://doi.org/10.1038/s41467-023-40917-3

Source records

europe-pmc · retrieved 2026-09-27T01:36:27.291Z
doaj · retrieved 2026-09-27T01:36:27.307Z