Grants and Contributions:

Title:
AI-enabled radiography diagnostics
Agreement Number:
969581
Agreement Value:
$280,500.00
Agreement Date:
Mar 30, 2021 - Mar 30, 2022
Description:
The Project will enable improved training of deep neural networks, build models for AI-enabled COVID-19 diagnosis and risk stratification through applying few-shot learning methods, and address current limitations of the low quantity of annotated COVID-19 positive data. The Project will accelerate the development of an open-source, open-access diagnostic platform. The potential for an epidemic or pandemic caused by a high impact respiratory pathogen is increasing and the frequency of outbreaks of newly emerging diseases is rising. Exploration of few-shot learning techniques to enable improved training of deep neural networks has the potential to apply to other emerging epidemics and pandemics when the available data is limited.
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:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
172-2020-2021-Q4-969581
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119260685
Recipient Type:
Academia
Recipient's Legal Name:
University of Waterloo
Federal Riding Name:
Waterloo
Federal Riding Number:
35112
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 - R&D in the physical, engineering and life sciences