Title:
AI Assist Pilot Project for Determining the Optimal Algorithm for Noninvasive Estimation of Cardiovascular Parameters.
Agreement Number:
1026075
Agreement Value:
$75,000.00
Agreement Date:
Jan 2, 2025 - Mar 31, 2026
Description:
The Project will support pilot testing of AI strategies for estimating stroke volume from noninvasive recordings in individual patients
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Calgary, Alberta, CA T2N 4E4
Reference Number:
172-2024-2025-Q4-1026075
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
742025273
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 59 days.
Amendment Date
Dec 22, 2025
Recipient's Operating Name:
42 Health Sensors
Recipient's Legal Name:
42 Health Sensors Holdings Limited
Federal Riding Name:
Calgary Confederation
Federal Riding Number:
48005
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.