Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology
Anum S. Kazerouni, Manasa Gadde, Andrea Gardner, David A. Hormuth, Angela M. Jarrett, Kaitlyn E. Johnson, Ernesto A. B. F. Lima, Guillermo Lorenzo, Caleb M. Phillips, Amy Brock, Thomas E. Yankeelov
Abstract
imaging. In this contribution, we summarize how a variety of experimental methods quantify tumor characteristics from the molecular to tissue scales and describe how such data can be directly integrated with mechanism-based models to improve predictions of tumor growth and treatment response.
Topics & Concepts
LimitingComputer scienceComputational biologyMathematical modelMechanism (biology)BiologyMathematicsEngineeringPhysicsQuantum mechanicsStatisticsMechanical engineeringCancer Genomics and DiagnosticsMathematical Biology Tumor GrowthSingle-cell and spatial transcriptomics