Grants and Contributions:

Back to search
Title:
Machine learning for Linking Lipidomics and Metabolomics with Clinical Measures for design of multimodal diagnostic models
Agreement Number:
1022500
Agreement Value:
$298,100.00
Agreement Date:
Jun 10, 2024 - Mar 31, 2026
Description:
Clinical measurements have seen major improvements with increasingly high-quality data becoming available. Linking these data through hybrid machine learning and knowledge driven methods with molecular data provided by metabolomics and lipidomics is expected to lead to tangible clinical solutions in design of novel diagnostic, theragnostic and therapy avenues. Design of analytical AI and ML methods linking metabolome and lipidome with for example MRI or EEG is expected to provide an avenue for the understanding and design of innovative diagnostic and therapeutic modalities. The project aims to develop novel integrated ML driven methods for deriving information from clinical, structural measures such as EEG and MRI that can be directly linked with related molecular omics measures, specifically metabolomics and lipidomics in order to provide improved design of diagnostic and prognostic methods. Focus will be on application in neurodegenerative diseases of aging
Organization:
National Research Council Canada
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.

Location:
Ottawa, Ontario, CA K1N 6N5
Reference Number:
172-2024-2025-Q3-1022500
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119278877
Recipient Type:
Academia
Recipient's Legal Name:
University of Ottawa
Federal Riding Name:
Ottawa--Vanier--Gloucester
Federal Riding Number:
35081
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
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.

NAICS Code:
541710