Optimizing breast cancer treatment strategies through fractional-order dynamics: A computational modeling approach.

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Title: Optimizing breast cancer treatment strategies through fractional-order dynamics: A computational modeling approach.
Authors: Jamadar IS; Department of Applied Science and Humanities, MIT School of Computing, MIT-Art, Design and Technology University, Pune, Maharashtra, India., Kumar K; Department of Applied Science and Humanities, MIT School of Computing, MIT-Art, Design and Technology University, Pune, Maharashtra, India., Khan A; Centre for Instructional Technology and Multimedia, Universiti Sains Malaysia, Penang, Malaysia., Khan SA; Department of Mechanical and Aerospace Engineering, Faculty of Engineering, IIUM, Gombak Campus, Kuala Lumpur, Malaysia., Alahmadi AA; Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia., Alwetaishi M; Department of Civil Engineering, College of Engineering, Taif University, Taif, Saudi Arabia., Hui LT; Center for Image and Vision Computing, COE for Artificial Intelligence, Faculty of Information Science and Technology, Multimedia University, Melaka, Malaysia.
Source: PloS one [PLoS One] 2026 May 14; Vol. 21 (5), pp. e0347160. Date of Electronic Publication: 2026 May 14 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0347160