Computational modeling of perfusion in dense solid tumors
Year: 2020
Type: preprint
Abstract: Tracking and characterizing the blood uptake process within solid pancreatic tumors and the subsequent spatio-temporal distribution of red blood cells are critical to the clinical diagnosis of the cancer. This systematic computational study of physical factors, affecting the percolation and penetration of blood into a solid tumor, can assist in the development of a new objective clinical diagnosis approach and a framework for personalized targeted drugs.
Source: arXiv (Cornell University)
Authors: Nilotpal Chakraborty, Saikat Basu
Institution: South Dakota State University
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3112698718