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A recent report from Universiti Malaya discusses research on cancer treatment using optimal control supported by swarm intelligence. The study aims to develop hybrid techniques that combine optimal control theory with evolutionary algorithms and multi-objective swarm algorithms to reduce cancerous cells while minimizing the use of chemotherapy medications and toxicity. Two hybrid techniques were proposed and evaluated, with MOEA/D emerging as the most effective algorithm in reducing tumor size and cancer drug concentration. The study highlights the importance of integrating optimal control theory and evolutionary algorithms for optimizing cancer chemotherapy treatment. [Extracted from the article]

Researchers at Brock University have conducted a study on drug development, specifically focusing on the design of effective molecules that can bind to specific protein targets. The study explores the use of artificial intelligence algorithms, particularly many-objective metaheuristics, in combination with a latent Transformer-based model for molecular generation. The researchers compared the performance of different models and metaheuristics and found that a multi-objective evolutionary algorithm based on dominance and decomposition was the most effective in finding molecules that satisfied multiple objectives, such as high binding affinity and low toxicity. This study demonstrates the potential of integrating Transformers and many-objective computational intelligence for drug design. [Extracted from the article]

Researchers from Babes-Bolyai University in Cluj-Napoca, Romania have developed a novel null model called MuAn that uses Evolutionary Algorithms to generate synthetic networks with high values of Assortativity Degree and Local Clustering Coefficient, which are important for identifying network motifs. The proposed model has been shown to be effective in generating networks with motifs and can be used in various domains such as gene regulatory networks, drug-target networks, and artificial neuronal networks. This research has been peer-reviewed and published in Swarm and Evolutionary Computation. [Extracted from the article]

Researchers from Gannan Normal University in Jiangxi, China have published a new report on the use of supercritical carbon dioxide in biotechnology. The researchers developed a multi-scale computational model called CADPPD-EA, which simulates the dissolution behavior of supercritical carbon dioxide in polymer fluids. The model showed good computational effects and outperformed similar models in terms of accuracy, efficiency, and correlation. The researchers believe that the CADPPD-EA model can be applied in various fields such as chemical engineering, material energy, biomedicine, and computer science. [Extracted from the article]

A recent study conducted at Anhui University in China has proposed a new algorithm called the adaptive conjugate gradient accelerated evolutionary algorithm (ACG-EA) for optimizing cancer treatment plans in intensity-modulated proton therapy. This technique is considered one of the most advanced cancer treatment methods due to the unique characteristics of proton radiation. The ACG-EA algorithm aims to generate diverse high-quality treatment plans simultaneously, addressing the limitations of existing optimization methods. Experimental results have shown promising performance in six clinical cancer cases. This research has been peer-reviewed and published in the journal Applied Soft Computing. [Extracted from the article]

Researchers from the Universidad Tecnologica de Leon have developed a novel strategy for automatically classifying coronary stenosis using an evolutionary algorithm. The method involves a feature extraction stage to form a bank of 473 features, and the feature selection task is carried out on this high-dimensional feature bank. The researchers achieved a 99% discrimination rate with a subset of four features, and the classification performance was found to be suitable for use in a clinical decision support system. This research provides valuable insights into the automatic classification of coronary stenosis and could have implications for improving diagnosis and treatment. [Extracted from the article]

A report from the University Francisco of Vitoria in Madrid, Spain discusses the use of artificial intelligence (AI) in enhancing breast cancer diagnosis. The researchers evaluated different approaches using thermographic imaging and found that a hybrid model of convolutional neural networks and evolutionary algorithms achieved an accuracy of nearly 94%. The study highlights the potential benefits of computer vision and AI in medical diagnosis, particularly in the field of breast cancer screening. The research has been peer-reviewed and provides valuable insights into the application of AI in healthcare. [Extracted from the article]

Keywords: Bushehr; Iran; Algorithms; Breast Cancer; Cancer; Diagnostics and Screening; Emerging Technologies; Evolutionary Algorithm; Health and Medicine; Machine Learning; Mathematics; Networks; Neural Networks; Oncology; Perceptron; Women's Health EN Bushehr Iran Algorithms Breast Cancer Cancer Diagnostics and Screening Emerging Technologies Evolutionary Algorithm Health and Medicine Machine Learning Mathematics Networks Neural Networks Oncology Perceptron Women's Health 319 319 1 09/25/23 20230926 NES 230926 2023 SEP 26 (NewsRx) -- By a News Reporter-Staff News Editor at Women's Health Weekly -- Investigators publish new report on Oncology - Breast Cancer. Artificial Neural Networks (ANN) are a prevalent machine learning algorithm, which is very popular for prediction and classification problems. [Extracted from the article]

Bielefeld, Germany, Europe, Obesity Fitness and Wellness, Algorithms, Mathematics, Evolutionary Algorithm Keywords: Bielefeld; Germany; Europe; Obesity Fitness and Wellness; Algorithms; Evolutionary Algorithm; Mathematics EN Bielefeld Germany Europe Obesity Fitness and Wellness Algorithms Evolutionary Algorithm Mathematics 588 588 1 08/21/23 20230825 NES 230825 2023 AUG 25 (NewsRx) -- By a News Reporter-Staff News Editor at Genomics & Genetics Weekly -- New research on Obesity, Fitness and Wellness is the subject of a report. [Extracted from the article]

Keywords: Differential Evolution; Emerging Technologies; Evolutionary Algorithm; Health and Medicine; Machine Learning; Mathematics; Public Health EN Differential Evolution Emerging Technologies Evolutionary Algorithm Health and Medicine Machine Learning Mathematics Public Health 4574 4574 1 07/31/23 20230804 NES 230804 2023 AUG 4 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Week -- New research on differential evolution is the subject of a new report. Differential Evolution, Emerging Technologies, Evolutionary Algorithm, Health and Medicine, Machine Learning, Mathematics, Public Health. [Extracted from the article]

Keywords: Algorithms; Angiology; Cardiovascular Diseases and Conditions; Coronary Stenosis; Evolutionary Algorithm; Health and Medicine; Heart Disease; Heart Disorders and Diseases; Mathematics; Myocardial Ischemia; Stenosis EN Algorithms Angiology Cardiovascular Diseases and Conditions Coronary Stenosis Evolutionary Algorithm Health and Medicine Heart Disease Heart Disorders and Diseases Mathematics Myocardial Ischemia Stenosis 963 963 1 05/29/23 20230529 NES 230529 2023 MAY 29 (NewsRx) -- By a News Reporter-Staff News Editor at Heart Disease Weekly -- Investigators discuss new findings in coronary stenosis. Algorithms, Angiology, Cardiovascular Diseases and Conditions, Evolutionary Algorithm, Coronary Stenosis, Health and Medicine, Heart Disease, Heart Disorders and Diseases, Mathematics, Myocardial Ischemia, Stenosis. [Extracted from the article]