Reference number : 172-2023-2024-Q4-1010082, amendment number : , agreement type : G, recipient legal name : Queen's University at Kingston, recipient country : CA, recipient province : ON, recipient city : Kingston|Kingston, recipient postal code : K7L 3N6, 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 : The Digital Mouse – a digital twin of behavioral indices of neurodegeneration and associated metabolic determinants for explainable in silico therapy design, agreement title french : La souris numérique - un jumeau numérique des indices comportementaux de la neurodégénérescence et des déterminants métaboliques connexes pour une conception de thérapies in silico explicable., agreement number : 1010082, agreement value : 264000.0, agreement start date : 2024-03-27, agreement end date : 2026-03-31, description english : Digital twin technology is used to model, explain, understand and predict behavior of complex systems in order to make their performance more reliable or to provide an in silico platform for high throughput testing of the effect of different interventions. Models combined under a digital twin umbrella can also be used to study mechanistic phenomena of a disease. While there are extensive data using genetically and environmentally manipulated laboratory mice to model human disease, these data are study- dependent and have yet to interrogate how metabolism dictates outcome and modulates genetic susceptibility. Moreover, there are no in silico models that combine the multiple behavioral outcomes of these in vivo modelling data with the metabolome. The lack of a murine digital twin is a major missing link in intelligent design of therapeutic strategies for complex diseases. The driving hypothesis of this project is that a digital mouse developed through optimized AI approaches and extensive, available biological data can provide a framework to support the design of evidence- based therapies for neurodegenerative diseases. The main outcome of this project will be an in silico reconstruction and simulation of the dependence of behavior, as a measure of neurodegeneration, on the lipidome and its application in corrective intervention development. The proposed digital mouse will be built using novel AI algorithms and unique, extensive, and longitudinal murine datasets (from birth to death) made available through collaboration., description french : La souris numérique - un jumeau numérique des indices comportementaux de la neurodégénérescence et des déterminants métaboliques connexes pour une conception de thérapies in silico explicable., 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