[HTML][HTML] A modular fuzzy expert system for chemotherapy drug dose scheduling

RH Faisal, S Debnath, MMU Islam, S Sifath… - Healthcare …, 2023 - Elsevier
This study presents a modular Fuzzy Expert System (FES) for chemotherapy drug dose
scheduling. The computational model considers the patient's Body Surface Area (BSA) and …

Deep reinforcement learning-based control of chemo-drug dose in cancer treatment

H Mashayekhi, M Nazari, F Jafarinejad… - Computer Methods and …, 2024 - Elsevier
Background and objective Advancement in the treatment of cancer, as a leading cause of
death worldwide, has promoted several research activities in various related fields. The …

Optimal administration strategy in chemotherapy regimens using multi-drug cell-cycle specific tumor growth models

P Qods, J Arkat, Y Batmani - Biomedical Signal Processing and Control, 2023 - Elsevier
During the last decades, various chemotherapeutic drugs have been developed to treat
cancer, which makes the chemotherapy design more complicated. To determine optimal …

Switched system optimal control approach for drug administration in cancer chemotherapy

X Wu, Y Hou, K Zhang - Biomedical Signal Processing and Control, 2022 - Elsevier
This paper considers a drug administration problem in cancer chemotherapy. Our main aim
is to choose a drug delivery rate such that the final tumour population is minimized. For this …

A robust state-dependent Riccati equation controller with parameter uncertainty and matched disturbance

SR Nekoo, A Ollero - Journal of the Franklin Institute, 2023 - Elsevier
The state-dependent Riccati equation (SDRE) unveils a nonlinear optimal control approach;
the method is sensitive to uncertainty and disturbance that provokes the necessity of precise …

Develo** a new photoluminescent, nanoporous, and biocompatible glycodendrimer for smart hepatic cancer treatment

M Pooresmaeil, H Namazi - European Polymer Journal, 2021 - Elsevier
In this work for the first time, a novel photoluminescent glycodendrimer was fabricated
through the growth of polyamidoamine dendrimer (PAMAM-G3) on the zirconium-based …

The MOEO algorithm for multi-objective optimization of the cancer immuno-chemotherapy

K Nozad, SM Varedi-Koulaei, M Nazari - Computers in Biology and …, 2024 - Elsevier
In cancer treatment, chemotherapy has the disadvantage of killing both healthy and
cancerous cells. Hence, the mixed-treatment of cancer such as chemo-immunotherapy is …

Adaptive fuzzy control of drug delivery in cancer treatment using combination of chemotherapy and antiangiogenic therapy

ES Ghasemabad, M Mirhadi… - Proceedings of the …, 2023 - journals.sagepub.com
This paper introduces the adaptive fuzzy control scheme as a promising control technique
for cancer treatment from a theoretical point of view. A mathematical model describing the …

An observer-based adaptive fuzzy control for prescribing drug dosage in cancer treatment

RF Bandpey, AA Kalat - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
In this study, an observer-based adaptive fuzzy controller for prescribing drug dosage in
cancer treatment is presented. In the controller design, it is supposed that only the tumor …

Proposing a neuro-fuzzy controller to compensate for the effect of disturbances on the MED-TVC desalination system

S Khajehnamaghi, M Nazari, M Nazari… - Proceedings of the …, 2024 - journals.sagepub.com
Due to climate changes and disturbances in the steam production of power plants, multi-
effect desalination (MED) plants are facing two possible disturbances: pressure change in …