Reference number : 172-2023-2024-Q4-1015589, amendment number : , agreement type : G, recipient legal name : The Governors of the University of Alberta, recipient country : CA, recipient province : AB, recipient city : Edmonton|Edmonton, recipient postal code : T5J 4P6, program name english : 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 english : 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., agreement title english : 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 number : 1015589, agreement value : 396625.0, agreement start date : 2024-02-01, agreement end date : 2026-03-31, description english : 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 english : 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., additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada