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Chemotherapy drug regimen optimization using deterministic oscillatory search algorithm

N Archana, Antony Manoj Fh Benedict, J Niresh
2018 Tropical Journal of Pharmaceutical Research  
Conclusion: Artificial intelligent techniques can be used as a tool to aid oncologists in the effective treatment of cancer through chemotherapy.  ...  The results proved the effectiveness of the proposed technique in terms of reduced drug concentration, toxicity, tumor size and drug level within a predetermined time period.  ...  In reality, effective drug combination and schedule are fixed for a specific cancer type, based on clinical trials.  ... 
doi:10.4314/tjpr.v17i6.21 fatcat:5vjrwg6n3ngwxdni4oes4cvnjy

Population-based optimization of cytostatic/cytotoxic combination cancer chemotherapy

Gabriela Ochoa, Minaya Villasana
2013 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
This article studies the suitability of modern population based algorithms for designing combination cancer chemotherapies.  ...  The problem of designing chemotherapy schedules is expressed as an optimization problem (an optimal control problem) where the objective is to minimize the tumor size without compromising the patient's  ...  optimal control formulation of cancer chemotherapy based on a realistic cancer model and multiple-type drugs.  ... 
doi:10.1007/s00500-013-1043-5 fatcat:crgkewgqcbe3jdzlcf7l3psnqu

Special Issue on Memetic Algorithms

Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi
2007 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
the optimization of a multiple-drug cancer chemotherapy schedule.  ...  Their algorithm employs a sophisticated combination of particle swarm optimization, adaptive local searchers, and meta-Lamarckian learning. Caponio et al.'  ... 
doi:10.1109/tsmcb.2006.883274 fatcat:7gdkkxbourap5a33ayv2pmfmmq

A BRIEF SURVEY ON BIO INSPIRED OPTIMIZATION ALGORITHMS FOR MOLECULAR DOCKING [article]

Mayukh Mukhopadhyay
2014 bioRxiv   pre-print
In this brief survey, after a concise introduction on nature inspired computing, the application of bio inspired optimization algorithms in molecular docking has been studied.  ...  Mathematically, molecular docking can be formulated as an optimization problem in which the objective is to minimize the intermolecular bound conformational energy of two interacting molecules.  ...  The author is grateful to Dr Parama Bhaumik, for guidance and valuable technical inputs.  ... 
doi:10.1101/006833 fatcat:tcqw7um3rrhepkibowbqcqejpe

Smart problem solving environment for medical decision support

Andrei Petrovski, John McCall
2005 Proceedings of the 2005 workshops on Genetic and evolutionary computation - GECCO '05  
This paper presents a medical problem solving environment (PSE) designed for modelling, simulation, and optimisation of clinical cancer chemotherapy.  ...  In order to find optimal chemotherapeutic treatments, two population-based evolutionary algorithms -Genetic Algorithms and Particle Swarm Optimisation -have been applied, which can use web services and  ...  Optimal control theory and heuristic optimisation use the models developed to find optimal chemotherapy strategies [15] .  ... 
doi:10.1145/1102256.1102290 dblp:conf/gecco/PetrovskiM05 fatcat:es7eq7wwq5atbi6lyqh3rdirly

An Intelligent Method for Diagnosis of Breast Cancer

2017 International Journal of Innovative Research in Electronics and Communications  
The idea is to transform the data into the wavelet basis, in which the large coefficients are mainly the signal and the smaller ones represent the noise and using particle swarm optimization for high precision  ...  The effect of this technique in the diagnoses of breast cancer, where the detection of early malignant tumors is essential for effective treatment, is reviewed in this paper.  ...  If the cancerous tissue is concentrated, a combination of surgery (lumpectomy), chemotherapy, and radiotherapy is usually used.  ... 
doi:10.20431/2349-4050.0402002 fatcat:konhmjglone37ehz3dwagmf4fi

Optimal Intermittent Dose Schedules for Chemotherapy Using Genetic Algorithm

M. A. HOSSAIN, M. A. AL-MAMUN, M.S. ALAM, Munira SULTANA, Nadia ALAM
2013 Advances in Distributed Computing and Artificial Intelligence Journal  
The design targets the key objective of chemotherapy to minimize the size of cancer tumor after a predefined time with keeping toxic side effects in limit.  ...  Therefore the proposed design method is capable of planning effective, simple, patient friendly and acceptable chemotherapy schedules.  ...  Evolutionary algorithms have been widely engaged to search optimal chemotherapy drug schedule. One of the first mathematical attempts to optimize cancer chemotherapy was by Swan [SWAN, 1986] .  ... 
doaj:64f959264d41499893d9940b79adab27 fatcat:kq46qkgp7ffxtlr6o6iz7kdooi

Editorial: Flexible Biosensors and Intelligent Medical Devices in Health and Disease

Jian Yang
2022 Frontiers in Bioengineering and Biotechnology  
and effective control.  ...  This Research Topic focuses on both the hardware and software of intelligent biomedical devices, including flexible or wearable biosensors, machine learning algorithms, and artificial intelligence-based  ...  Jie Deng for organizing the topic and reviewing the articles, as well as the technical support from Frontiers.  ... 
doi:10.3389/fbioe.2022.849617 pmid:35721845 pmcid:PMC9201944 fatcat:waepqe6dkbe6tcgxwecriwhoze

Tumor Treatment Protocol by using Genetic Algorithm based Bernstein Polynomials and Sliding Mode Controller

Fazal Subhan, Muhammad Adnan Aziz, Jawad Ali Shah, Kushsairy Abdul Kadir, Ijaz Mansoor Qureshi
2021 IEEE Access  
Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.  ...  effect of chemotherapy on ICs.  ...  [9] improved constrained multi objective optimization problem (CMOOP) solution using Pontryagins maximum principle based optimal control along with evolutionary algorithm (EA) and swarm intelligence  ... 
doi:10.1109/access.2021.3126491 fatcat:u3m4ssdyljgw5dpl5xmsalwww4

A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm

Soniya Lalwani, Sorabh Singhal, Rajesh Kumar, Nilama Gupta
2013 Transactions on Combinatorics  
Particle Swarm Optimization (PSO) has been established in 1995 and became a very mature and most popular domain in SI.  ...  Due to the complexities in such type of problems powerful heuristic techniques were needed, which has been strongly satisfied by Swarm Intelligence (SI) techniques.  ...  We gratefully acknowledge financial support by BTIS-sub DIC (supported by DBT, Govt. of India) to two of us (S.L. and S.S.) and Advanced Bioinformatics Centre (supported by Govt. of Rajasthan) at Birla  ... 
doaj:d067a695f2874248a87829b843ff1df7 fatcat:l2vav6okc5bcdaci3h2hwoktyy

PI-D CONTROLLER BASED ON AN IMPROVED CROW SEARCH ALGORITHM FOR CANCER GROWTH TREATMENT

Mohammed A. Hussein, Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq, Ekhlas H. Karam, Computer Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq
2021 Journal of Engineering and Sustainable Development  
An optimal Proportion Integral-Derivative (PI-D) controller is introduced in this paper based on a suggested Improved Crow Search Algorithm (ICSA) to enhance the outcome of oncolytic virotherapy.  ...  The number of cancer diagnoses and deaths worldwide is rising every year despite technological advancements in diagnosing and treating multiple forms of cancer.  ...  Ekhlas Hameed Karam and for giving me much of her time, effort, and excellent continuous guidance throughout the work.  ... 
doi:10.31272/jeasd.25.6.9 fatcat:rkpey426bfcafb7r6htpgprvpq

An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications

Raed Abu Zitar, Mohammed Azmi Al-Betar, Mohammed A. Awadallah, Iyad Abu Doush, Khaled Assaleh
2021 Archives of Computational Methods in Engineering  
The JAYA algorithm combines the survival of the fittest principle from evolutionary algorithms as well as the global optimal solution attractions of Swarm Intelligence methods.  ...  Initially, the optimization model and convergence characteristics of JAYA algorithm are carefully analyzed.  ...  This algorithm is a population-based metaheuristic combining the features of evolutionary algorithms and Swarm-based Intelligence.  ... 
doi:10.1007/s11831-021-09585-8 pmid:34075292 pmcid:PMC8155802 fatcat:j6u2fa74abgnhleodwkc4pou7m

Automatic Breast Tumor Diagnosis in MRI Based on a Hybrid CNN and Feature-Based Method Using Improved Deer Hunting Optimization Algorithm

Weitao Ha, Zahra Vahedi, Navid Razmjooy
2021 Computational Intelligence and Neuroscience  
Early diagnosis of this cancer (abnormal cell changes) can help definitively treat it. Also, prevention of this cancer can help to decrease the high cost of medical caring for breast cancer patients.  ...  Due to the obtained results, the accuracy of this method is 98.89%, which represents the high potential and efficiency of this method.  ...  Also, these components change based on their effect on the network error [9] .  ... 
doi:10.1155/2021/5396327 fatcat:rouanlgyxzgplffe2oqp56jjqa

Contents: (Adv. Funct. Mater. 25/2018)

2018 Advanced Functional Materials  
This feature article focuses on recent development of colloidal plasmonic nanomotors with emphasis on their rotation control, Brownian dynamics, photothermal effects, and molecular sensing applications  ...  The simulation and experimental results indicate that the local heating effects and the spatial resolution of the hyperthermia process can be significantly improved by using a microrobotic swarm.  ...  The nanomotor exhibits enhanced penetration across the tumor vasculature model and capable of release cargo on demand.  ... 
doi:10.1002/adfm.201870172 fatcat:vjxyzpi4yvetvmimbaibyqjb4i

Systems approaches and algorithms for discovery of combinatorial therapies

Jacob D. Feala, Jorge Cortes, Phillip M. Duxbury, Carlo Piermarocchi, Andrew D. McCulloch, Giovanni Paternostro
2009 Wiley Interdisciplinary Reviews: Systems Biology and Medicine  
We discuss in special detail the design of algorithms that identify optimal control parameters in cellular networks based on a quantitative characterization of control landscapes, maximizing utilization  ...  Identification of control parameters presents an extreme challenge due to the combinatorial explosion of control possibilities in combination therapy and to the incomplete knowledge of the systems biology  ...  the effects of ischemia on action potential morphology [38] .  ... 
doi:10.1002/wsbm.51 pmid:20836021 fatcat:dakiqntuubgzpabcljmssctwni
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