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Ross Upshur

Showing results (161-170 of 168) with videos related to

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Lancet (London, England)|December 13, 2021
Governing the Access to COVID-19 Tools Accelerator: towards greater participation, transparency, and accountabilitySuerie Moon, Jana Armstrong, Brian Hutler, et al.
JMIR Public Health and Surveillance|October 24, 2025
Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and ImplementationAndrew D Pinto, Sharon Birdi, Steve Durant, et al.
Trials|February 8, 2017
The ACHRU-CPP versus usual care for older adults with type-2 diabetes and multiple chronic conditions and their family caregivers: study protocol for a randomized controlled trialMaureen Markle-Reid, Jenny Ploeg, Kimberly D Fraser, et al.
Canadian Journal of Public Health = Revue Canadienne De Sante Publique|June 11, 2025
Machine learning used to study risk factors for chronic diseases: A scoping reviewMahek Shergill, Steve Durant, Sharon Birdi, et al.
Lancet (London, England)|August 1, 2025
Bioethics for the planetWarwick Anderson, Jakelin Troy, Tamara Lucas, et al.
BMC Public Health|December 28, 2024
Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping reviewSharon Birdi, Roxana Rabet, Steve Durant, et al.
Public Health Reviews|March 2, 2026
Machine Learning Used in Communicable Disease Control: A Scoping ReviewSharon Birdi, Atushi Patel, Roxana Rabet, et al.
Journal of Pain Research|June 19, 2025
A Multi-Site, Randomized, Parallel-Group, Controlled Trial of Virtually-Delivered Sahaj Samadhi Meditation for the Management of Moderate Depressive Symptoms in Chronic PainDarren K Cheng, Robert Simpson, Rahim Moineddin, et al.
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Showing results (161-170 of 168) with videos related to

Sort By:
Pageof 17
You have reached the last page of results.This site can display upto 168 results.
Lancet (London, England)|December 13, 2021
Governing the Access to COVID-19 Tools Accelerator: towards greater participation, transparency, and accountabilitySuerie Moon, Jana Armstrong, Brian Hutler, et al.
JMIR Public Health and Surveillance|October 24, 2025
Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and ImplementationAndrew D Pinto, Sharon Birdi, Steve Durant, et al.
Trials|February 8, 2017
The ACHRU-CPP versus usual care for older adults with type-2 diabetes and multiple chronic conditions and their family caregivers: study protocol for a randomized controlled trialMaureen Markle-Reid, Jenny Ploeg, Kimberly D Fraser, et al.
Canadian Journal of Public Health = Revue Canadienne De Sante Publique|June 11, 2025
Machine learning used to study risk factors for chronic diseases: A scoping reviewMahek Shergill, Steve Durant, Sharon Birdi, et al.
Lancet (London, England)|August 1, 2025
Bioethics for the planetWarwick Anderson, Jakelin Troy, Tamara Lucas, et al.
BMC Public Health|December 28, 2024
Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping reviewSharon Birdi, Roxana Rabet, Steve Durant, et al.
Public Health Reviews|March 2, 2026
Machine Learning Used in Communicable Disease Control: A Scoping ReviewSharon Birdi, Atushi Patel, Roxana Rabet, et al.
Journal of Pain Research|June 19, 2025
A Multi-Site, Randomized, Parallel-Group, Controlled Trial of Virtually-Delivered Sahaj Samadhi Meditation for the Management of Moderate Depressive Symptoms in Chronic PainDarren K Cheng, Robert Simpson, Rahim Moineddin, et al.
Pageof 17