Mathematical Oncology Courses

Computational Methods for Inferring Tumor Evolution and Heterogeneity

Explore computational techniques for analyzing tumor evolution and heterogeneity, enhancing understanding of cancer progression and treatment strategies.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Quantifying CAR T Cells Activity Against AML - Model Selection Based on In Vitro Cytolytic Assays

Explore quantitative modeling of CAR T cell activity against AML through in vitro cytolytic assays, enhancing understanding of immunotherapy effectiveness.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Biophysical Modeling of Tumor-Immune Interactions for Optimizing T-Cell Immunotherapy

Explore biophysical modeling techniques for tumor-immune interactions to enhance T-cell immunotherapy effectiveness and optimize treatment strategies.

• YouTube
• 1 hour 34 minutes
• On-Demand
• Free Video

Computational Modeling of Chemotaxis - The Best Way to Understand Cell Migration

Explore computational modeling techniques for understanding cell migration and chemotaxis, enhancing knowledge of cellular movement mechanisms.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Quantifying Tumor Heterogeneity Across Space and Time

Explore advanced techniques for analyzing tumor heterogeneity spatially and temporally with Dr. Ben Raphael's in-depth presentation on cutting-edge mathematical oncology approaches.

• YouTube
• 1 hour 35 minutes
• On-Demand
• Free Video

Models to Understand and Predict the Clinical Efficacy of Combinations of Cancer Treatment

Explore models for predicting clinical efficacy of combined cancer treatments with Dr. Adam Palmer's in-depth analysis and insights.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Bi-directional Lessons Between Traditional Evolutionary Biology and Cancer

Explore evolutionary biology's impact on cancer research and vice versa, uncovering insights that bridge these interconnected fields.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Lenia: A Continuous Model of Virtual Cell Growth Patterns

Explore virtual cell growth patterns through Lenia, a continuous model presented by Dr. Bert Chan in this Mathematical Oncology seminar.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

A Top-Down-Bottom-Up Approach to Evolution-Based Therapies in Compact Populations

Explore evolution-based therapies in compact populations through a top-down-bottom-up approach with Dr. Jona Kayser's seminar on mathematical oncology.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

A Machine Learning Approach to Biology: Applying Data-Driven Model Discovery Methods

Explore machine learning biology and data-driven model discovery methods in mathematical oncology, focusing on CAR T-cell immunotherapy and glioblastoma research.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Cell State Dynamics and Plasticity in Tumorigenesis and Drug Resistance

Explore cell state dynamics and plasticity in cancer, focusing on tumorigenesis and drug resistance. Gain insights into heterogeneity, universal modules, and cancer cell manipulation of fibroblasts.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

How Diversity Indices Help Understand Cancer Ecology and Evolution

Explore diversity indices and entropy to gain insights into cancer ecology and evolution, enhancing understanding of tumor dynamics and progression.

• YouTube
• 1 hour 41 minutes
• On-Demand
• Free Video