Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
The Governors of the University of Alberta
$396,625.00
Developing Advanced Machine Learning Models for Early Diagnosis of Alzheimer’s and Parkinson’s Disease
FY 2023-24 · 2024-02-01
Summary
This project involves the development of specialized machine learning methods, leveraging a comprehensive dataset from healthy patients. The primary objective is to construct models capable of analyzing smaller patient populations, facilitating early, personalized diagnoses that are accurate across diverse subpopulations. The proposed methodology includes exploring transfer learning, a powerful machine learning technique that harnesses knowledge from one task to enhance performance on related tasks. Specifically, we aim to employ precise learning models for the development of sex and race-optimized early diagnostic methods for Alzheimer's and Parkinson's diseases.
Department
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Location
Edmonton|Edmonton, Alberta, Canada
Recipient Type
Academia
Business Number
108102831
Type
Grant
Source
Proactive Disclosure - Grants and Contributions
As published
Agreement End Date
2026-03-31
Agreement Number
1015589
Agreement Start Date
2024-02-01
Agreement Title
Developing Advanced Machine Learning Models for Early Diagnosis of Alzheimer’s and Parkinson’s Disease
Agreement Title (French)
Élaboration de modèles avancés d’apprentissage automatique pour le diagnostic précoce des maladies d’Alzheimer et de Parkinson
Agreement Type
Grant
Agreement Value
$396,625.00
Amendment Number
0
Description
This project involves the development of specialized machine learning methods, leveraging a comprehensive dataset from healthy patients. The primary objective is to construct models capable of analyzing smaller patient populations, facilitating early, personalized diagnoses that are accurate across diverse subpopulations. The proposed methodology includes exploring transfer learning, a powerful machine learning technique that harnesses knowledge from one task to enhance performance on related tasks. Specifically, we aim to employ precise learning models for the development of sex and race-optimized early diagnostic methods for Alzheimer's and Parkinson's diseases.
Description (French)
Élaboration de modèles avancés d’apprentissage automatique pour le diagnostic précoce des maladies d’Alzheimer et de Parkinson
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Federal Riding
Edmonton Centre
Federal Riding (French)
Edmonton-Centre
Federal Riding Number
48014
NAICS Code
541710 - R&D in the physical, engineering and life sciences
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Recipient Business Number
108102831
Recipient City
Edmonton|Edmonton
Recipient Country
CA
Recipient Legal Name
The Governors of the University of Alberta
Recipient Postal Code
T5J 4P6
Recipient Province or Territory
AB
Recipient Type
S
Reference Number
172-2023-2024-Q4-1015589
