Data Science and Health | Drupal

Bannière

Librairie

Data Science and Health

Présenté par

Dès le 9 novembre 2020

Activités de formation

This course presents:

- Fundamental concepts in data science, machine and deep learning applied to the healthcare sector;
- An introduction to IT tools;
- And concrete applications of these methods and tools to different fields of health.

Content will be presented using educational videos presented by scientific experts: Tristan Sylvain, Gaétan Marceau-Caron, Jeremy Pinto, Margaux Luck, Joseph Paul Cohen and Tariq Daouda.

Activities

01

February

Feb.

Présenté by MITACS

Writing and presentation skills

01

February

Feb.

Présenté by MITACS

Project and time management

01

February

Feb.

Présenté by MITACS

Reconciliation & EDI

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Featured project

Development of an automatic prognostic tool combining images and clinical data for highgrade prostate cancer.

Student member : Maxence Larose

Prostate cancer is the second most frequent cancer and the fifth leading cause of cancer death among men. To improve patient outcomes, treatment must be personalized based on accurate prognosis. Nomograms already exist to identify patients at low risk for recurrence based on preoperative clinical information, but these tools do not use patients’ medical images.