Grants and Contributions:

Title:

Advanced Hemodynamic Feature Classification through Machine Learning: Utilizing FloPatch FP120 Clinical Data for Cardiovascular Disease Classification

Agreement Number:

1019439

Agreement Value:

$315,360.00

Agreement Date:

Apr 8, 2024 - Jun 30, 2025

Description:

This project utilizes FloPatch FP120's extensive clinical data to develop a machine learning algorithm for classifying cardiovascular disease features of Doppler blood flow. A 12-month endeavor, it involves data preprocessing, feature engineering, and development of an ML model, followed by rigorous optimization and clinical validation. Adhering to ISO 13485 standards, the team of five, including signal processing engineers and clinical scientists, will ensure compliance with FDA and Health Canada regulations. This initiative aims to enhance diagnostic accuracy in cardiovascular health, contributing significantly to patient care and setting a precedent in medical technology applications.

Organization:

National Research Council Canada

Expected Results:

The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization

Location:

Sudbury, Ontario, CA P3E 2H2

Reference Number:

172-2024-2025-Q1-1019439

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

815794995

Recipient Type:

For-profit organization

Recipient's Operating Name:

FLOSONICS MEDICAL

Recipient's Legal Name:

1929803 Ontario Corp.

Federal Riding Name:

Sudbury

Federal Riding Number:

35103

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

33911