Model based smooth super-twisting control of cancer chemotherapy treatment.

Cancer chemotherapy Cell kill hypotheses Model based smooth super-twisting control (MBSSTC) Super-twisting control (STC) Tumor volume

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
04 Jan 2024
Historique:
received: 09 07 2023
revised: 11 12 2023
accepted: 01 01 2024
medline: 8 1 2024
pubmed: 8 1 2024
entrez: 8 1 2024
Statut: aheadofprint

Résumé

Chemotherapy is one of the most efficient methods for treating cancer patients. Chemotherapy aims to eliminate cancer cells as thoroughly as possible. Delivering medications to patients' bodies through various methods, either oral or intravenous is part of the chemotherapy process. Different cell-kill hypotheses take into account the interactions of the expansion of the tumor volume, external drugs, and the rate of their eradication. For the control of drug usage and tumor volume, a model based smooth super-twisting control (MBSSTC) is proposed in this paper. Firstly, three nonlinear cell-kill mathematical models are considered in this work, including the log-kill, Norton-Simon, and E

Identifiants

pubmed: 38190767
pii: S0010-4825(24)00041-6
doi: 10.1016/j.compbiomed.2024.107957
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107957

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Kamal Rsetam (K)

Al Khwarizmi College of Engineering, University of Baghdad, Baghdad, Iraq; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, 3122, Australia. Electronic address: krsetam@swin.edu.au.

Mohammad Al-Rawi (M)

Faculty of Engineering, Chemical and Materials Engineering, The University of Auckland, Auckland, New Zealand; Centre for Engineering and Industrial Design, Waikato Institute of Technology, Hamilton, New Zealand. Electronic address: mohammad.al-rawi@wintec.ac.nz.

Zhenwei Cao (Z)

School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Melbourne, 3122, Australia. Electronic address: zcao@swin.edu.au.

Abeer Alsadoon (A)

School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Wagga Wagga, Australia; Asia Pacific International College (APIC), Sydney, Australia. Electronic address: alsadoon.abeer@gmail.com.

Lulu Wang (L)

Biomedical Device Innovation Center, Shenzhen Technology University, Shenzhen 518118, China. Electronic address: lwang381@hotmail.com.

Classifications MeSH