Search research articles
Contact Us
Filters
Showing results (161-170 of 165) with videos related to
Page
of 17
Sort By:
You have reached the last page of results.
This site can display upto 165 results.
Archives of Physical Medicine and Rehabilitation
|
August 28, 2018
Medical Rehabilitation: Guidelines to Advance the Field With High-Impact Clinical Trials
Marcas M Bamman, Gary R Cutter, David M Brienza, et al.
NPJ Parkinson'S Disease
|
March 22, 2025
Digital gait biomarkers in Parkinson's disease: susceptibility/risk, progression, response to exercise, and prognosis
Martina Mancini, Mitra Afshari, Quincy Almeida, et al.
The Lancet. Digital Health
|
December 16, 2020
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study
Derek B Archer, Justin T Bricker, Winston T Chu, et al.
The Lancet. Digital Health
|
April 8, 2020
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study
Derek B Archer, Justin T Bricker, Winston T Chu, et al.
Trials
|
October 6, 2022
Study in Parkinson's disease of exercise phase 3 (SPARX3): study protocol for a randomized controlled trial
Charity G Patterson, Elizabeth Joslin, Alexandra B Gil, et al.
Page
of 17
Search research articles
Search
Showing results (161-170 of 165) with videos related to
Sort By:
Page
of 17
You have reached the last page of results.
This site can display upto 165 results.
Archives of Physical Medicine and Rehabilitation
|
August 28, 2018
Medical Rehabilitation: Guidelines to Advance the Field With High-Impact Clinical Trials
Marcas M Bamman, Gary R Cutter, David M Brienza, et al.
NPJ Parkinson'S Disease
|
March 22, 2025
Digital gait biomarkers in Parkinson's disease: susceptibility/risk, progression, response to exercise, and prognosis
Martina Mancini, Mitra Afshari, Quincy Almeida, et al.
The Lancet. Digital Health
|
December 16, 2020
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study
Derek B Archer, Justin T Bricker, Winston T Chu, et al.
The Lancet. Digital Health
|
April 8, 2020
Development and Validation of the Automated Imaging Differentiation in Parkinsonism (AID-P): A Multi-Site Machine Learning Study
Derek B Archer, Justin T Bricker, Winston T Chu, et al.
Trials
|
October 6, 2022
Study in Parkinson's disease of exercise phase 3 (SPARX3): study protocol for a randomized controlled trial
Charity G Patterson, Elizabeth Joslin, Alexandra B Gil, et al.
Page
of 17