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Author profile
Justin Smith
Duke University
A Data-Calibrated Gompertz Tumor Growth Model for Predicting Chemoradiation Response In Murine Tumors.
Mechanistic tumor growth models provide a framework for linking observed tumor kinetics to underlying biological processes; however, their application to real preclinical datasets is limited by incomplete longitudinal measurements and uncertainty in model par...
Poster Program · Therapy Physics
A Multiscale Topological Framework for Phenotypic Profiling of the Oropharyngeal Carcinoma Microenvironment
Standardizing the assessment of the Tumor Microenvironment (TME) is critical for personalizing therapy in Head and Neck Squamous Cell Carcinoma (HNSCC). As part of a larger multiomics effort to discover multiscale biomarkers, we developed a mathematical frame...
Poster Program · Therapy Physics
In silico Clinical Trials Via Mathematical Modeling Predict Response to Chemoradiation Therapy for Head and Neck Cancer
To develop an in silico clinical trial framework based on mathematical modeling of tumor response to chemoradiation therapy as a prognostic indication of patient outcomes.
Proffered Program · Therapy Physics