Grants and Contributions:

Title:
Novel Automated Remote Wellness and Health Analysis of Lipids (NARWHAL)
Agreement Number:
996944
Agreement Value:
$331,431.00
Agreement Date:
Nov 1, 2022 - Oct 31, 2025
Description:
NARWHAL combines expertise in lipid quantification and machine learning (ML) driven diagnostics to develop a personalized health monitoring tool possibly deployable using NRC’s automated microfluidics platform. The combination of machine learning (ML) methodology, miniaturization of sample processing, and new fluorescent-based assay of lipids seek to enable new diagnostics. Previous collaborative work with NRC has resulted in a panel of lipid biomarkers for COVID19. In this Project, the team will now develop and miniaturize novel experimental and analytical methodologies for automated ML-driven diagnostics of depression, cardiovascular problems, and long COVID19. The goals of the Project are to validate fluorescent lipid biomarker quantification against the gold-standard of mass spectrometry, select optimal markers for this approach through ML, and to optimize ML methods for real-time personalized diagnostic evaluation. NARWHAL will enable clinicians to have rapid clinical diagnostic testing in remote locations.
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:
172-2022-2023-Q3-996944
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
Federal Riding Number:
35078
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