This paper is in the following e-collection/theme issue:

Viewpoint (35) Wearables and MHealth Viewpoints (80) Viewpoints and Perspectives (525) Clinical Information and Decision Making (1434) Neurology and Neurosciences (192) Clinical Informatics (1050)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47486, first published .
Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

Authors of this article:

Amit Khanna1 Author Orcid Image ;   Graham Jones2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Wall C, Celik Y, Hetherington V, McMeekin P, Walker R, Graham L, Vitorio R, Godfrey A. Considering and understanding developmental and deployment barriers for wearable technologies in neurosciences. Frontiers in Neuroscience 2024;18 View
  2. Hummel J, Schwenk M, Seebacher D, Barzyk P, Liepert J, Stein M. Clustering Approaches for Gait Analysis within Neurological Disorders: A Narrative Review. Digital Biomarkers 2024;8(1):93 View
  3. Khanna A, Adams J, Antoniades C, Bloem B, Carroll C, Cedarbaum J, Cosman J, Dexter D, Dockendorf M, Edgerton J, Gaetano L, Goikoetxea E, Hill D, Horak F, Izmailova E, Kangarloo T, Katabi D, Kopil C, Lindemann M, Mammen J, Marek K, McFarthing K, Mirelman A, Muller M, Pagano G, Peterschmitt M, Ren J, Rochester L, Sardar S, Siderowf A, Simuni T, Stephenson D, Swanson-Fischer C, Wagner J, Jones G. Accelerating Parkinson’s Disease drug development with federated learning approaches. npj Parkinson's Disease 2024;10(1) View