Author profile
Duke University
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...
Understanding chemoradiation resistance remains a major barrier to improving outcomes in head and neck cancer. We developed a multiscale framework linking tumor architecture, cellular network topology, and immune context to therapeutic response. This approach...
Personalized oncology requires bridging the gap between macro-scale imaging and micro-scale cellular architecture. We developed a radiopathomic fusion framework to integrate PET/CT metabolic heterogeneity with graph-based topological modeling of the tumor mic...
Head and neck squamous cell carcinoma (HNSCC) is a clinically aggressive malignancy with heterogeneous responses to chemoradiation, driven in part by dynamic immune remodeling. While immune infiltration has been studied at different time points, the spatiotem...
Murine models of head and neck squamous cell carcinoma (HNSCC) are routinely monitored using external caliper measurements to estimate tumor volume, most often relying on simplified geometric assumptions such as cylindrical approximations. While convenient, t...
To investigate mechanisms of chemoradiation resistance in murine head and neck squamous cell carcinoma using a multiscale framework integrating metabolic imaging (μPET), tissue heterogeneity (μCT), and cellular topology (digital pathology).