Special Issues
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Advances in Mathematical Modeling: Numerical Approaches and Simulation for Computational Biology

Submission Deadline: 31 January 2025 View: 396 Submit to Special Issue

Guest Editors

Dr. Faranak Rabiei, Texas A & M University Kingsville, USA
Dr. Dongwook Kim, Texas A & M University Kingsville, USA
Dr. Zeeshan Ali, Monash University- Malaysia Campus, Malaysia
Dr. Kamyar Hosseini, Near East University TRNC, Turkey

Summary

This special issue explores the dynamic collaboration between mathematics and biology by highlighting the advanced methodologies and theoretical developments. In recent years, there has been a growing interest in the application of mathematics to understand biological systems and the behavior of various diseases. Mathematical modeling has been used to study different aspects of biological systems, epidemiology, population dynamics, cell signaling, gene regulation, ecosystem interactions, and others. These models have offered insights into the behavior of biological systems, helping in the explanation of observed phenomena and the prediction of experimental outcomes. The special issue titled "Advances in Mathematical Modeling: Numerical Approaches and Simulation for Computational Biology" focuses on the latest developments and applications of mathematical modeling techniques in the field of computational biology. It aims to explore how numerical approaches and simulations are being utilized to advance our understanding of biological systems, with a particular focus on their applications in computational biology and modeling.


This special issue covers following area and topics:

· Numerical analysis and computational approaches in biology

· Epidemiology

· Computational neuroscience

· Dynamical system of mathematical biology models

· Infectious Disease Dynamics

· Cancer mathematical modeling

· Oncolytic or immunotherapy

· Stability Analysis

· Time Delay ODE/PDE biological Models



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