In silico Modeling and Global Optimization of Dynamic Bio-optical Processes for Probing, in vivo, Biological Features of Neoplasia

We present the first in silico simulation of biomarker uptake kinetics and of the associated dynamic optical signals, measured in vivo in neoplastic epithelial tissue. We introduce a new, non-invasive method for estimating and mapping of both structural and functional, neoplasia-correlated parameters. The method relies on model-based fitting of dynamic optical signals, measured in vivo, and on solving the inverse problem with the aid of global sensitivity analysis and global optimization approaches.