Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure-Reference-Cited by-同舟云学术

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Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure

Published:2022-01-07 Issue: Volume:2022 Page:1-29
ISSN:1099-0526
Container-title:Complexity
language:en
Short-container-title:Complexity

Author:

Fawad Khan M.¹^ORCID,Bonyah Ebenezer²^ORCID,Alshammari Fahad Sameer³^ORCID,Ghufran Syed Muhammad¹,Sulaiman Muhammad¹^ORCID

Affiliation:

1. Department of Mathematics, Abdul Wali Khan University, Mardan 23200, KP, Pakistan

2. Department of Mathematics Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Ghana

3. Department of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia

Abstract

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Link

http://downloads.hindawi.com/journals/complexity/2022/9660746.pdf

Reference42 articles.

1. Remissions in leukemia of childhood following acute infectious disease. Staphylococcus and streptococcus, varicella, and feline panleukopenias

2. Measles Virus for Cancer Therapy

3. Computational modeling approaches to the dynamics of oncolytic viruses

4. Towards Predictive Computational Models of Oncolytic Virus Therapy: Basis for Experimental Validation and Model Selection

5. ODE models for oncolytic virus dynamics

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