Program
The conference schedule may be downloaded here.
Schedule
All times are listed in Central Standard Time.
MONDAY, January 10, 2022
7:30 - 7:40 Welcome
Session 1 Mathematical Modeling of Tumor Growth - Fundamental Ideas (Part 1)
7:40 - 8:30 J. Tinsley Oden, University of Texas at Austin
Goal-Oriented A-Posteriori Estimation of Model Error as an Aid to Parameter Estimation: Application to Nonlinear BVPs and Models of Tumor Growth
8:30 - 9:00 Hector Gomez, Purdue University
Inverting Tumor Angiogenesis with Interstitial Flow and Chemokine Matrix-binding Affinity
9:00 - 9:20 Saskia Haupt, University of Heidelberg
Mathematically Modeling Multiple Pathways of Carcinogenesis Using the Kronecker Structures
9:20 - 9:40 Paras Jain, Indian Institute of Science, Bangalore
Population Dynamics of Epithelial-Mensenchymal Heterogeneity in Cancer Cells
9:40 - 10:00 Guillermo Lorenzo, University of Texas at Austin
Biomechanical Interactions Between Prostate Cancer and Coexisting Benign Prostatic Hyperplasia
10:00 - 10:30 Break
Session 2 Mathematical Modeling of Tumor Growth - Fundamental Ideas (Part 2)
10:30 - 11:00 John Lowengrub, University of California
Predictive Nonlinear Modeling of Malignant Myelopoiesis and TKI Therapy
11:00 - 11:30 Luciana R C Barros, Cancer Institute of Sao Paulo
Cells Immunotherapy: From the Bedside to Mathematical Modeling
11:30 - 11:50 Daniel Comacho-Gomez, University of Zaragoza
Hybrid Discrete-Continuum Model to Evaluate DIPG Cells Invasion and Matrix Degradation
11:50 - 12:10 Myrianthi Hadjicharalambous, University of Cyprus
Understanding Anti-Angiogenic Treatment and Metronomic Chemotherapy Through a Computational Cancer Model
12:10 - 12:30 Rui Travasso, University of Coimbra
Intratumoral VEGF Nanotrapper Reduces Gliobastoma Vascularization and Tumor Cell Mass
12:30 - 14:00 Lunch Break
Session 3 Integrating Data with Models - Advances and Challenges (Part 1)
14:00 - 14:30 Thomas Yankeelov, University of Texas at Austin
Towards Imaging-Based Digital Twins for Clinical Oncology
14:30 - 15:00 Russell Rockne, Beckman Reserach Institute of City of Hope
"Big" Data for Mathematical Models: Too Much and Not Enough
15:00 - 15:20 Baoshan Liang, University of Buffalo
An Image-Based Bayesian Framework for Subject-Specific Tumor Growth Prediction
15:20 - 15:40 Stefano Pasetto, H. Lee Moffitt Cancer Center and Research Institute
Intermittent Hormone Therapy Models Analysis and Bayesian Model Comparison for Prostate Cancer
15:40 - 16:00 Caleb Phillips, University of Texas at Austin
Assessing the Invertibility of Model Selection Frameworks for the Prediction of Patient Outcomes for Clinical Breast Cancer
TUESDAY, January 11
Session 4 Integrating Data with Models - Advances and Challenges (Part 2)
8:00 - 8:30 Mohit Kumar Jolly, Indian Institute of Science, Bengaluru
Phenotypic Heterogeneity in Melanoma: Integrating Data-Based and Mechanism-Based Approaches
8:30 - 9:00 Heiko Enderling, H. Lee Moffitt Cancer Center and Research Institute
Harnessing the Complex Tumor-Immune Interactions with Radiotherapy
9:00 - 9:20 Vikram Adhikarla, Beckman Research Institute, City of Hope
Modeling Tumor Response to Targeted Radionuclide Therapies
9:20 - 9:40 Zoi Tokoutsi, Philips Research
Challenges in Model Validation and Personalization: An Animal Study for Microwave Ablation
9:40 - 10:00 Barbara Wirthl, Technical University of Munich
Multiphase Porous Media Models of Tumor Growth - A Global Sensitivity Analysis Based on
Gaussian-Process Metamodeling
10:00 - 10:30 Break
Session 5 Emerging Opportunities - Advanced Modeling and Imaging Techniques (Part 1)
10:30 - 11:00 Katarzyna Rejniak, Moffit Cancer Center
Modeling ECM Mechanical and Metabolic Architecture During Early Ductal Invasions
11:00 - 11:30 Savannah Partridge, University of Washington
Functional MRI Signatures of Breast Tumor Microenvironment and Immune Response
11:30 - 11:50 Xavier Gracia-Andres, Universitat Politecnica de Valencia
Structural Characterization of Cancerous Vertebrae by Combining Machine Learning Techniques with the Cartesian Grid FEM
11:50 - 12:10 Anum Kazerouni, University of Washington
Identification of Pre-Treatment Tumor Habitats for the Prediction of Neoadjuvant Therapy Response in Triple Negative Breast Cancer
12:10 - 12:30 Lahcen Akerkouch and Trung Le, North Dakota State University
A Hybrid Particle-Continuum Approach for Modelling Cellular Dynamics in Flows.
12:30 -14:00 Lunch Break
Session 6 Emerging Opportunities - Advanced Modeling and Imaging Techniques (Part 2)
14:00 - 14:30 John Hazle, MD Anderson Cancer Center
Emerging Opportunities - Advanced Modeling and Imaging Techniques
14:30 - 15:00 David Fuentes, MD Anderson Cancer Center
An Information Theoretic Approach Toward Hyperpolarized Data Acquisition in Brain
15:00 - 15:20 Debosmita Biswas, University of Washington
Diffusion Weighted Imaging for Improving the Diagnostic Performance of Breast MRI
15:20 - 15:40 Kishore Hari, Indian Institute of Science
Mechanistic Modeling of Cancer Therapy Resistance
15:40 - 16:00 Sarthak Sahoo, Indian Institute of Science
Roles of Phenotypic Plasticity and Non-Genetic Hyeterogeneity in Growth in ER+ Breast Cancers
16:00 - 16:30 Concluding Session