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Modeling Virus Mutation and T-Cell Dynamics in HIV/AIDS: A Comparative Study using Finite Difference and Physics-Informed Neural Network

Publication Type : Conference Proceedings

Publisher : IEEE

Source : International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)

Url : https://ieeexplore.ieee.org/document/10627803

Campus : Chennai

School : School of Engineering

Year : 2024

Abstract : In order to meet the biological constraints, In this paper we consider a system of four equations which captures T-cell-HIV interactions. It describes the behavior of normal T cells, latently-infected T cells, actively infected T cells and virus with special emphasis on reclassification, death rate and population dynamics. The model makes sure that the sum total of T-cell population is bounded while its steady-state solution remains stable. This document symbolically provides basis for stability conditions resulting from HIV's impact on CD4+T cell numbers.

Cite this Research Publication : J.Aniketh Reddy, M.Mukesh Charan, Ch.Nayanesh Reddy, BTPR Nikhil, J.Aman Reddy, H. Janani, R. Ishwariya, Modeling Virus Mutation and T-Cell Dynamics in HIV/AIDS: A Comparative Study using Finite Difference and Physics-Informed Neural Network, International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT),2024.

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