1929803 Ontario Corp.

Published purpose

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.