Literature DB >> 31054387

Modified fractional order IMC design based drug scheduling for cancer treatment.

Nikhil Pachauri1, Jyoti Yadav2, Asha Rani3, Vijander Singh4.   

Abstract

This paper aims to improve chemotherapy drug(s) scheduling of the drug dose injected into a patient. The existing practice has been established on experiments performed during the drug development process. In general, chemotherapeutic drugs are highly toxic in nature and directly affect the probability of a patient's survival. Therefore, a modified fractional order internal model control (MFOIMC) scheme with a minimal number of design parameters is proposed for effective drug scheduling. The proposed control scheme is a combination of fractional calculus and IMC. The fractional order IMC (FOIMC) is modified by incorporating an extra control loop with a proportional transfer function. Further, IPD and IMC control techniques are also designed for comparative analysis. The dragon fly algorithm (DA) is employed to optimize the parameters of the controller. Results show that the proposed control scheme provides a continuous and precise chemotherapeutic drug dose to the patient on a daily basis. It is also shown that MFOIMC improves IAE by 34% and 32% in comparison to IMC and FOIMC, respectively, which proves its superiority over other controllers.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chemotherapy; Dragon fly algorithm; FOIMC; Modified FOIMC

Mesh:

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Year:  2019        PMID: 31054387     DOI: 10.1016/j.compbiomed.2019.04.013

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  2 in total

1.  Optimum multi-drug regime for compartment model of tumour: cell-cycle-specific dynamics in the presence of resistance.

Authors:  Bharti Panjwani; Vijander Singh; Asha Rani; Vijay Mohan
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-03-22       Impact factor: 2.745

2.  Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy.

Authors:  Fábio Augusto D Alegria Tuza; Paula Morisco de Sá; Hermano A Castro; Agnaldo José Lopes; Pedro Lopes de Melo
Journal:  Biomed Eng Online       Date:  2020-12-09       Impact factor: 2.819

  2 in total

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