With the democratization of omics technologies and the material to conduct high throughput experiments, life sciences laboratories and research institutes are generating more and more data.
Organized in partnership with the Montréal Clinical Research Institute, the seminar is is your start-up kit to design and lead health research projects driven by data science, artificial intelligence and related techniques. It aims at life science researchers and students seeking new ways to exploit these data in order to advance in their research objectives.
- Understand the current context and opportunities arising from recent developments in artificial intelligence and related disciplines
- Demystify AI
- Raise awareness of the organizational, ethical and legal issues surrounding health data
To avoid food waste, a contribution of $10 per person is required.
Date and place
Friday October 11, 2019
110, avenue des Pins Ouest
Room : Auditorium Jacques Genest
Montréal (Québec), H2W 1R7
- Barbara Decelle, Health Research Advisor (IVADO)
- Anne-Marie Beauregard, Communication Advisor (IRCM)
- Thérence Bois, Phd student (IRCM) & Co-Founder de InVivo AI
Contact and Practical Information
For any inquiries, please contact us at firstname.lastname@example.org.
Date : october 11, 2019
8h : Reception
8h15 – 8h30 : Opening – Brian Moore, Scientific programs director, IVADO & Max Fehlmann, President and scientific director of the IRCM.
8h30 – 9h00 : Boosting research by increasing data-driven decisions and analyses – Maia Kaplan, PhD, Streamline Genomics
9h00 – 10h30 : AI 101 – Karim Jerbi, PhD. Psychologie Department, Université de Montréal
10h30 – 11h00 : Coffee Break
11h00 – 12h00 : Short talks – presentation of projects involving AI
Artificial Intelligence for a better management of refractory epilepsy – Elie Bou Assi, PhD. (CR-CHUM)
Eye detection and analysis in the hospital environment – Vanessa Prinsen (CHUSJ)
Deep learning and complex diseases – Camille Rochefort-Boulanger (ICM)
Prediction of mRNA subcellular localization using deep recurrent neural networks – Zichao Yan (IRCM-McGill)
Challenges and opportunities in deep learning-driven proteomics research – Jérémie Zumer (IRIC, MILA)
12h00 -13h00 : Lunch
13h00 -14h00 : Precision Health Governance – Édouard Habib, PhD student at Cyberjustice laboratory
14h00 -15h00 : Being Smart with your Data Acquisition and Analysis – Virginie Calderon, PhD., Manager of the Bioinformatique Core Facility, IRCM & Dominic Filion, PhD., Manager of the Microscopy and Imaging Core Facility
15h00 – 15h15 : Coffee Break
15h15 – 16h15 : Shallow networks for deep conclusions – Tariq Daouda, PhD.
16h00 – 17h00 : How to build an AI expertise in your laboratory – Sébastien Giguère, PhD, Co-founder of InVivo AI
17h00 – 19h00 : Cocktail