Title:
Evaluate the use of predictive analysis for patient complications
Agreement Number:
1026162
Agreement Value:
$75,000.00
Agreement Date:
Nov 20, 2024 - Mar 26, 2025
Description:
The project will lay the groundwork for the development of an ML-based predictive model to identify and manage bleeding complications in surgical patients, particularly following colorectal and hepatopancreatobiliary (HPB) procedures.
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:
Kitchener, Ontario, CA N2H 5L6
Reference Number:
172-2024-2025-Q4-1026162
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
801509431
Recipient Type:
For-profit organization
Recipient's Operating Name:
Fluid AI Medical
Recipient's Legal Name:
NERV TECHNOLOGY Inc.
Federal Riding Name:
Kitchener Centre
Federal Riding Number:
35045
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.