Mathematical Modelling of Cancer Treatments, Resistance, Optimization
Description
This workshop aims to take a closer look at how mathematical and computational models can help answer clinically relevant questions and enhance multimodal treatments. Currently, a wide range of modelling approaches study cancer and have a crucial role in treatment delivery from answering questions related to cancer biology and treatment efficacy to directly helping with treatment delivery. In this workshop, we would like to bring together clinicians, biomedical experts, experimentalists, and mathematicians to explore some of the relevant questions on multimodal treatment modelling, efficacy, optimization, drug resistance and clinical delivery.
Each day of the workshop will focus on a particular theme such as chemotherapy or radiation therapy and we will invite experts in that area to discuss the current developments, novel applications, and open questions to promote active discussion and develop ideas and partnerships for future exploration. By bringing together experts that work on different topics, we hope to achieve synergy among these areas, exchange ideas, and enhance collaborations. Furthermore, we are planning to dedicate the final day of the workshop to producing a white paper, highlighting the clinically relevant modelling studies in each theme, and identifying open questions. Each day, we will have one plenary speaker with a clinical and experimental background and one plenary speaker with a mathematical modelling background. We will choose mathematical modellers with experience working with clinicians and clinical experimentalists with experience and interest in working with modellers.
Our meeting will seek to build bridges between mathematical biologists and clinical experimentalists that will continue beyond the workshop. In particular, we will seek participants who have an expressed capacity and interest in venturing into new interdisciplinary projects. This focus will particularly provide a fertile environment for PhD students and early-career researchers to launch new collaborations that could propel their careers and help foster a stronger collaborative research culture linking mathematics and oncology. We are also planning that on the final day of the workshop, we will work together to write a summary paper highlighting the major developments in each topic. This could potentially serve as a helpful starting point for anyone interested in this research area.
Participation Instruction:
For remote participation, please use the following Zoom link: https://zoom.us/j/92759411430
Local Accommodation:
Accommodation: Please visit http://www.fields.utoronto.ca/resources/housing-resources.
The organizers are staying at Courtyard by Marriott Downtown Toronto.
Schedule
09:00 to 09:15 |
Opening Remarks
Peter Kim, University of Sydney |
09:15 to 10:00 |
Agent-based modeling of dysregulated cell signaling and the tumor- immune landscape predicts new possibilities for combination therapy
Trachette Jackson, University of Michigan |
10:00 to 10:30 |
Coffee Break
|
10:30 to 10:50 |
Project Presentations: Enhanced Therapeutic effects and safety profile of systemically delivered oncolytic adenovirus
Arum Yoon, Hanyang University |
10:50 to 11:10 |
Neoadjuvant stereotactic radiotherapy versus upfront surgery for brain metastases
Andrew Dhawan, Cleveland Clinic, Heiko Enderling, The University of Texas MD Anderson Cancer Center |
11:10 to 11:30 |
How do we determine causation in immunotherapy?
Chuck Wiseman |
11:30 to 11:50 |
What makes tumors hot? Insights from experimental-computational integration
Peter Lee, City of Hope |
12:00 to 13:30 |
Lunch Break
|
13:30 to 13:50 |
Project Presentations: Challenges in the use of virtual populations for oncology drug development: a case study of ALK inhibition in NSCLC
Nathan Braniff, Pfizer |
13:50 to 14:10 |
Incorporating drug toxicity into models of adaptive therapy
Mark Davies, Swansea University |
14:10 to 14:30 |
Probing spatial patterns in breast cancer via the affinity matrices
Sara Nizzero, ARTIDIS INC |
14:30 to 14:40 |
(Problem Snapshots) - Oncolytic virotherapy
Thomas Hillen, University of Alberta |
14:40 to 14:50 |
(Problem Snapshots) - My own developed Biomedical Biometric Devices.
Haseeb Ul Haq |
15:00 to 15:30 |
Coffee Break
|
15:30 to 17:00 |
Break into Project Groups
|
17:00 to 18:30 |
Reception
|
09:00 to 09:15 |
Computational Modeling of Cell Migration in Tumor Microenvironments
Ashlee Ford Versypt, University at Buffalo, SUNY |
09:15 to 09:30 |
Understanding chemotherapeutic tolerance through a mathematical model of drug-induced resistance
Eduardo Sontag, Northeastern University |
09:30 to 09:45 |
Title TBA
Yangjin Kim, Konkuk University |
09:45 to 10:00 |
Optimal control of combination immunotherapy for a virtual murine cohort in a glioblastoma-immune dynamics model
Tracy Stepien, University of Florida |
10:00 to 10:30 |
Coffee Break
|
10:30 to 10:45 |
A modelling-informed picture of Residual Disease in Environmentally Mediated Drug Resistance
Noemi Picco, Swansea University |
10:45 to 11:00 |
Who's in and who's out: Leveraging macroscopic preclinical data to simulate trials on truly heterogenous populations
Harsh Jain, University of Minnesota - Duluth |
11:00 to 11:15 |
Cachexia: Muscle Loss from Cancer and Chemotherapy
Kathleen Wilkie, Toronto Metropolitan University |
11:15 to 11:30 |
A mathematical model of TCR-T cell therapy for cervical cancer
Doron Levy, University of Maryland College Park |
11:30 to 11:45 |
Title TBA
Edward Taylor |
12:00 to 13:30 |
Lunch Break
|
13:30 to 15:30 |
Break into Project Groups
|
15:30 to 16:00 |
Coffee Break
|
16:00 to 17:00 |
[Coxeter Lecture Series] Lecture 01 | Stem cells, tissue architecture, and cancer evolution with applications to the hematopoietic system
Natalia Komarova, University of California, San Diego |
17:00 to 18:30 |
Reception for the Coxeter Lecture Series
|
09:00 to 09:15 |
Phase I study of a novel glioblastoma radiation therapy schedule exploiting cell-state plasticity
Jamie Dean, University College London |
09:15 to 09:30 |
Mitigating non-genetic resistance to checkpoint inhibition based on multiple states of exhaustion
Jana Gevertz, The College of New Jersey |
09:30 to 09:45 |
Advancements in 3D bioprinting with computational models for enhanced cell viability and functionality
Mohammad Kohandel, University of Waterloo |
09:45 to 10:00 |
Mathematically guided clinical trials that integrate evolutionary dynamics into treatments for control or cure of metastatic cancers
Robert Gatenby, Moffitt Cancer Center |
10:00 to 10:30 |
Coffee Break
|
10:30 to 11:30 |
[Coxeter Lecture Series] Lecture 02 | From cell evolution to cancer epidemiology: the role of aspirin in colorectal cancer prevention
Natalia Komarova, University of California, San Diego |
11:30 to 12:00 |
Groups Share in Pairs
|
12:00 to 13:30 |
Lunch Break
|
13:30 to 15:30 |
Break into Project Groups
|
15:30 to 16:00 |
Coffee Break
|
16:00 to 17:00 |
[Distinguished Lecture Series] Lecture 02 | Applications of topological data analysis in cancer
Helen Byrne, University of Oxford |
09:00 to 09:15 |
AI-driven computational pathology: Revolutionizing cancer prognosis and treatment prediction
Germán Corredor, Emory University |
09:15 to 09:30 |
(R)evolutionary therapies: Beating cancer at its own game
Joel Brown, Moffitt Cancer Center |
10:00 to 10:30 |
Coffee Break
|
10:30 to 11:30 |
[Coxeter Lecture Series] Lecture 03 | Mathematical modeling of drug resistance in cancer
Natalia Komarova, University of California, San Diego |
12:00 to 13:30 |
Lunch Break
|
13:30 to 15:00 |
Break into Project Groups
|
15:00 to 15:30 |
Coffee Break
|
15:30 to 17:00 |
Poster Session
|
09:00 to 09:20 |
Group 1 Presentation
|
09:20 to 09:40 |
Group 2 Presentation
|
09:40 to 10:00 |
Group 3 Presentation
|
10:00 to 10:30 |
Coffee Break
|
10:30 to 10:50 |
Group 4 Presentation
|
10:50 to 11:10 |
Group 5 Presentation
|
11:10 to 11:30 |
Group 6 Presentation
|
11:30 to 11:50 |
Group 7 Presentation
|