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FRACTIONAL DYNAMICS OF CHRONIC LYMPHOCYTIC LEUKEMIA WITH THE EFFECT OF CHEMOIMMUNOTHERAPY TREATMENT

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dc.citedby6
dc.contributor.authorJan R.en_US
dc.contributor.authorRazak N.N.A.en_US
dc.contributor.authorAlyobi S.en_US
dc.contributor.authorKhan Z.en_US
dc.contributor.authorHosseini K.en_US
dc.contributor.authorPark C.en_US
dc.contributor.authorSalahshour S.en_US
dc.contributor.authorPaokanta S.en_US
dc.contributor.authorid57205596279en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid57891336000en_US
dc.contributor.authorid57997905800en_US
dc.contributor.authorid36903183800en_US
dc.contributor.authorid15051122700en_US
dc.contributor.authorid23028598900en_US
dc.contributor.authorid57215716650en_US
dc.date.accessioned2025-03-03T07:47:36Z
dc.date.available2025-03-03T07:47:36Z
dc.date.issued2024
dc.description.abstractCurrently, immunotherapy is seen to be the most effective cancer treatment. This is especially true while treating chronic lymphocytic leukemia (CLL), a slow-growing B-lymphocyte neoplasm that gradually compromises the immune system. Mathematical modeling is acknowledged as a key technique for analyzing theoretical and practical challenges in this field of cancer research and others. We were inspired to develop a mathematical model because of its dearth in investigations of chemotherapy-induced immunotherapy for CLL. This study effort formulates the dynamics of lymphocytic leukemia utilizing fractional calculus to conceptualize the complex processes of this viral illness. The basic idea of fractional calculus has been shown using the Atangana-Baleanu framework. For the suggested model's chaotic and dynamic behavior, a new numerical approach is described. We inspect the stability and convergence of the suggested numerical technique in our work. The fluctuation of various system input elements has demonstrated the oscillatory and chaotic behavior of the system. Moreover, we have demonstrated how the suggested mechanism of lymphocytic leukemia infection is affected by fractional order. Through numerical simulations, the most important input parameters are emphasized, and the policymakers are given control intervention suggestions. ? 2024 World Scientific. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2440012
dc.identifier.doi10.1142/S0218348X24400127
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85182568820
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85182568820&doi=10.1142%2fS0218348X24400127&partnerID=40&md5=aa327246d97a20b176779b4d25dc5f0c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37111
dc.identifier.volume32
dc.publisherWorld Scientificen_US
dc.sourceScopus
dc.sourcetitleFractals
dc.subjectChemotherapy
dc.subjectDiseases
dc.subjectDynamics
dc.subjectAtanganum-baleanu derivative
dc.subjectB lymphocytes
dc.subjectCancer research
dc.subjectChaotic behaviour
dc.subjectChaotic phenomenon
dc.subjectChronic lymphocytic leukemias
dc.subjectFractional calculus
dc.subjectFractional dynamics
dc.subjectLymphocytic leukemia
dc.subjectStability analyze
dc.subjectNumerical methods
dc.titleFRACTIONAL DYNAMICS OF CHRONIC LYMPHOCYTIC LEUKEMIA WITH THE EFFECT OF CHEMOIMMUNOTHERAPY TREATMENTen_US
dc.typeArticleen_US
dspace.entity.typePublication
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