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In Silico Approach Towards Magnetic Fluid Hyperthermia in Cancer Treatment: Modeling and Simulation presents mathematical modeling and simulation approaches contrary to costly and time consuming in-vivo and in-vitro studies. Finite element method-based models of all hyperthermia processes of liver, brain and breast tumors are simulated on COMSOL Multiphysics software. Problems of constant versus variable heat sources, the backflow problem, the enhanced permeation and retention effect, the flow around Happel's sphere in cells model structure, the deformation effect in poroelastic brain tumor, 3D flow through porous tissue, the reacting nanofluid flows, and optimization of parameters have been simulated for quantitative analysis.
This important reference aids in hyperthermia treatment planning in clinical applications and provides an important compendium for practitioners as well as non-medical practicing scientists and engineers and is resource for both research and medical practice in hyperthermia treatment planning in clinical applications.
List of contents
1. Introduction2. Literature survey3. Mechanism of heat generation by magnetic nanoparticles4. Governing mathematical models5 modeling the magnetic fluid hyperthermia of liver cancer6 modeling the magnetic fluid hyperthermia of poroelastic brain tumor7. Modeling the impact of nanoparticles size on tumor heating during thermal therapy of breast cancer8. Magnetic fluid hyperthermia of female breast cancer in three dimensions9. Enhanced permeation and retention effect (epr)10. The mechanics of nanofluid flow around happel's sphere in the cell-model structure of the porous tumor11. Three-dimensional transport of nanofluid in porous tumor12. Simulation of the reacting nanofluid in the porous tumor14. Steady-state and transient analysis of magnetic fluid hyperthermia of cylindrical tumor with optimization using nelder mead method15. Optimization of velocity of nanofluid in micropore of porous tumor
About the author
Dr. Muhammad Suleman PhD is currently working as senior faculty member at the department of Mathematics, Riphah Institute of Computing and Applied Science (RICAS), Riphah International University, Lahore, Pakistan. He has completed his Ph.D. in Mathematics with specialization in mathematical modeling and simulation of biological phenomena in 2022 from University of Engineering & Technology, Lahore, Pakistan. He is active researcher and is involved in many research activities. He has published quality research articles in reputed journals which are being flowing by many clinicians, modelers, scientists, and biomedical engineers
