Mathematical Modelling of Tumour Immune Dynamics and Immunotherapies
Description
Immunotherapies have revolutionized treatments for several types of cancers, but have been met with clinical trial failures in others. The idea of eliciting an immune response against a tumour is old, but we are only just beginning to harness the potential of the immune system to treat both solid and liquid tumours. To improve immunotherapeutic approaches requires understanding how the immune system interacts around and within a tumour, allowing us to establish effective immunotherapeutic protocols. Mathematical modelling can help identify the mechanisms at the heart of immunotherapeutic efficacy and design successful therapeutic regimens. Close collaboration between experimentalists, clinicians, and quantitative researchers in academia and industry is required to forward models for implementation. This workshop will focus on tightening the links between researchers in different fields to fuel immunotherapy success.
Our workshop will be structured with two main talks a day (one each in the morning and afternoon sessions), with ample time for collaborative work. Each day will be centred around a theme and include group discussions. Afternoons will be dedicated to unstructured time where participants can work on new ideas and problems together, motivated by the day’s theme.
Confirmed Speakers
- Tyler Cassidy, University of Leeds
- Paul François, Université de Montréal
- Sidhartha Goyal, University of Toronto
- Blanche Mongeon, Université de Montréal
- Trevor Pugh, University of Toronto
- Russ Rockne, City of Hope
- María Rodríguez Martínez, Yale University
- Kathleen Wilkie, Toronto Metropolitan University
For remote participation, please use the following Zoom link: https://zoom.us/j/92759411430
Schedule
09:30 to 10:30 |
Leveraging quantitative systems pharmacology for dose optimization in oncology drug development
Blerta Shtylla, Pfizer |
10:30 to 10:40 |
Group Photo
|
10:30 to 11:00 |
Coffee Break
|
11:00 to 12:30 |
Breakout Discussions
|
12:30 to 13:30 |
Lunch
|
13:30 to 15:00 |
Breakout Discussions
|
15:00 to 15:30 |
Coffee Break
|
15:30 to 16:30 |
Tyler Cassidy, University of Leeds |
16:30 to 17:00 |
Breakout Discussions
|
09:30 to 10:30 |
Maxim Kuznetsov, City of Hope |
10:30 to 11:00 |
Coffee Break
|
11:00 to 12:30 |
Breakout Discussions
|
12:30 to 13:30 |
Lunch
|
13:30 to 15:00 |
Breakout Discussions
|
15:00 to 15:30 |
Coffee Break
|
15:30 to 16:30 |
Kathleen Wilkie, Toronto Metropolitan University |
16:30 to 17:00 |
Breakout Discussions
|
17:00 to 18:30 |
Poster Session
|
10:00 to 11:00 |
Blanche Mongeon, Université de Montréal |
11:00 to 11:30 |
Coffee Break
|
11:30 to 11:55 |
Yong-Chen William Lu, University of Arkansas |
11:55 to 13:00 |
Breakout Discussions
|
13:00 to 14:00 |
Lunch
|
14:00 to 15:30 |
Breakout Discussions
|
15:30 to 16:00 |
Coffee Break
|
16:00 to 16:45 |
Breakout Discussions
|
16:45 to 17:30 |
Trevor Pugh |
09:30 to 10:30 |
Sid Goyal, University of Toronto |
10:30 to 11:00 |
Coffee Break
|
11:00 to 12:30 |
Breakout Discussions
|
12:30 to 13:30 |
Lunch
|
13:30 to 15:00 |
Breakout Discussions
|
15:00 to 15:30 |
Coffee Break
|
15:30 to 16:30 |
Modeling B and T cell function with a combination of machine learning and mathematical models
Maria Rodrigues, University of Glasgow |
16:30 to 17:00 |
Breakout Discussions
|
09:30 to 10:30 |
Paul François |
10:30 to 11:00 |
Coffee Break
|
11:00 to 12:30 |
Group Discussion and Wrap Up
|