Bannière

Librairie

Synthetic Data for Health Symposium

Présenté par

IVADO

En ligne

Activités de formation

AI algorithms and intelligent systems hold great promise in the health sector, such as decreasing the cost of supporting an aging population, discovering new therapeutic avenues for complex disease such as cancers, and better patient management. To support future advances in the Canadian healthcare system with data intelligent algorithms, barriers to data access and privacy must be addressed, and many scientists are turning toward generative models and synthetic datasets for innovative solutions.

This symposium is hosted by CIFAR in partnership with IVADO and Mila.

Activities

Discover

Featured project

Student member : Gabriel Couture

This project consists of establishing good practices in health data management and building a software infrastructure in order to apply them.

We have developed pipelines that allow daily recovery of brachytherapy treatment data in order to calculate and store their dosimetric indices in a database dedicated to research. These indices are essential for planning radiotherapy treatments and for estimating their quality.

Read more