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Optimizing cancer treatment using optimal control theory
Ahmed J. Abougarair
, Mohsen Bakouri
, Abdulrahman Alduraywish
, Omar G. Mrehel
, Abdulrahman Alqahtani
, Tariq Alqahtani
,
Yousef Alharbi
, Md Samsuzzaman
Biomedical Technology
University of Tripoli
Majmaah University
Fezzan University
Prince Sattam Bin Abdulaziz University
Patuakhali Science and Technology University
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
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Medicine and Dentistry
Malignant Neoplasm
100%
Cancer Therapy
100%
Side Effect
75%
Immunotherapy
75%
Immune Response
50%
Tumor Progression
50%
Diseases
25%
Radiation Therapy
25%
Health Care Cost
25%
Quality of Life
25%
Cell Count
25%
Cell Growth
25%
Tumor Cell
25%
Optimal Drug Dose
25%
Cytotoxic T-Cell
25%
Pharmacology, Toxicology and Pharmaceutical Science
Malignant Neoplasm
100%
Chemotherapy
66%
Side Effect
50%
Immunotherapy
50%
Neoplasm
33%
Tumor Growth
33%
Diseases
16%
CD8 Antigen
16%
Biochemistry, Genetics and Molecular Biology
Tumor Progression
100%
Immune Response
100%
Cell Growth
50%
T Cell
50%
Cell Count
50%
Neuroscience
Control Theory
100%
Immunotherapy
60%
C-Value
20%
CD8
20%
Radiation Therapy
20%
Chemical Engineering
Nonlinear System
100%