The role and place of the pharmacist-cosmetologist in the choosing and implementation of a cosmetology procedure for hair removal by N. O. Tkachenko, T. V. Mahanova, H. I. Makurina, N. V. Hrinivetska

“…The relevant aspects of pharmaceutical care of CPHR were defined. …”
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Automatic melanoma detection using an optimized five-stream convolutional neural network by Vida Esmaeili, Mahmood Mohassel Feghhi, Hadi Seyedarabi

“…The simulation results of our proposed method are promising compared to the most relevant state-of-the-art methods for melanoma detection in dermoscopy images. …”
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An explainable machine learning model for predicting the risk of distant metastasis in intrahepatic cholangiocarcinoma: a population-based cohort study by Jinzhe Bi, Yaqun Yu

“…Feature selection was performed using three methods, including least absolute shrinkage and selection operator (LASSO) regression, the Boruta algorithm, and recursive feature elimination (RFE). …”
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Integrated rapid risk assessment for dengue fever in settings with limited diagnostic capacity and uncertain exposure: Development of a methodological framework for Tanzania. by Matthias Hans Belau, Juliane Boenecke, Jonathan Ströbele, Mirko Himmel, Daria Dretvić, Ummul-Khair Mustafa, Katharina Sophia Kreppel, Elingarami Sauli, Johanna Brinkel, Ulfia Annette Clemen, Thomas Clemen, Wolfgang Streit, Jürgen May, Amena Almes Ahmad, Ralf Reintjes, Heiko Becher

“…<h4>Results</h4>The result of the suspected case refinement algorithm for clinically defined syndromic cases was consistent with the laboratory-confirmed diagnosis (dengue yes or no). …”
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Evaluating ChatGPT-4o for ophthalmic image interpretation: From in-context learning to code-free clinical tool generation by Joon Yul Choi, Tae Keun Yoo

“…Methods: We assessed ChatGPT-4o through three clinically relevant tasks: (1) image interpretation without prior examples, using fundus, external ocular, and facial photographs representing key ophthalmic conditions; (2) in-context learning with example-based prompts to improve classification accuracy; and (3) generation of an interactive HTML-based decision-support tool from a clinical diagnostic algorithm. …”
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Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope by Bozhou Li, Dajiang Ju, Xingwang Li, Yan Liu, Hongru He, Hao Wang

“…Then, based on the gated recurrent unit (GRU) model, the article applied the particle swarm optimization (PSO) algorithm to optimize the parameters of the GRU network and used the support vector machine (SVM) model to optimize the classification function of the network output. …”
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How to personalise cognitive–behavioural therapy for chronic primary pain using network analysis: study protocol for a single-case experimental design with multiple baselines by Julia Anna Glombiewski, Verena Eunike Hofmann, Felicitas Kininger, Saskia Scholten

“…After a second, randomised baseline (phase A'), participants will receive 1 out of 10 CBT interventions, selected by an algorithm matching targets to interventions, in up to 10 sessions (phase C). …”
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The role of mitochondria-related genes and immune infiltration in carotid atherosclerosis: identification of hub targets through bioinformatics and machine learning approaches by Dan Liu, Kun Guo, Min Li, Xiaochen Yu, Xue Guan, Xiuru Guan

“…The single-cell dataset GSE159677 further validated the expression proportions of relevant genes in different cell populations during the progression of AS. …”
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Long-Range Wide Area Network Intrusion Detection at the Edge by Gonçalo Esteves, Filipe Fidalgo, Nuno Cruz, José Simão

“…This paper proposes the implementation of machine learning algorithms, specifically the K-Nearest Neighbours (KNN) algorithm, within an Intrusion Detection System (IDS) for LoRaWAN networks. …”
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18 F sodium fluoride PET/CT in patients with prostate cancer: Quantification of normal tissues, benign degenerative lesions, and malignant lesions by Jorge Oldan, A Hawkins, Bennett Chin

“…These normal ranges, specifically for prostate cancer patients, will aid in clinical interpretation and also help to establish the basis of normal limits in a semiautomated data analysis algorithm.…”
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Digital image representation by atomic functions: features for computer vision and machine learning by Viktor Makarichev, Vladimir Lukin, Sergii Kryvenko, Iryna Brysina

“…The proposed method can enhance the efficiency of downstream ML and CV algorithms, especially in constrained environments where computational resources are limited. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

“…The Local Binary Pattern (LBP) technique, combined with the support vector machine (SVM) algorithm serves as the primary components of the proposed model. …”
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The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The author has developed the algorithm of the logistic system product distribution (LSPD) that functions in two directions. …”
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An Adaptive Navigation System for an Autonomous Underwater Vehicle Based on Data Transmitted via an Acoustic Channel from a Hydroacoustic Station by Chang Liu, Vladimir Filaretov, Anton Gubankov, Dmitry Yukhimets

“…In addition, the proposed algorithm can also be used during the failure of a number of AUV on-board navigation sensors.…”
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Creation of a Strategically Oriented Social Responsibility Management System in a Georgian Organization by Maia Chechelashvili, Nino Chikviladze, Irina Iashvili, Tamar Kajaia, Khatuna Kharkhelauri, Elisabed Malania

“…The actions, the implementation of which constitutes an adaptive algorithm for the formation of a strategically oriented system of social responsibility management, capable of ensuring the organization’s competitiveness in the long term, are defined. …”
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Clinical decision support system based on artificial intelligence for adjusting insulin pump parameters in children with type 1 diabetes mellitus by D. Yu. Sorokin, E. S. Trufanova, O. Yu. Rebrova, O. B. Bezlepkina, D. N. Laptev

“…We constructed recurrent neural network (RNN) to predict glucose concentration for 30-120 minutes, an algorithm for optimizing IP settings using prediction results. …”
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Enhanced Disc Herniation Classification Using Grey Wolf Optimization Based on Hybrid Feature Extraction and Deep Learning Methods by Yasemin Sarı, Nesrin Aydın Atasoy

“…Following feature extraction, the GWO algorithm, inspired by the social hierarchy and hunting behavior of grey wolves, is employed to optimize the feature set by selecting the most relevant features. …”
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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…Unlike existing analogues, the methods proposed in the article are universal and applicable to a wide class of applied programs. This is relevant for e-learning systems, because their may have a different types and purposes (for example, virtual simulators and information library software may be components of one system).…”
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The nutriRECIPE-Index – development and validation of a nutrient-weighted index for the evaluation of recipes by Frank Forner, Ina Volkhardt, Toni Meier, Olaf Christen, Gabriele I. Stangl

“…The Healthy Meal Index (comprising 3 nutritionally relevant items) and the Nutri-Score algorithm (comprising 7 items) were used to validate the nutrient composition and the results of the nutriRECIPE-Index. …”
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Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer by Qingyu Xu, Ling Ma, Alexander Streuer, Eva Altrock, Nanni Schmitt, Felicitas Rapp, Alessa Klär, Verena Nowak, Julia Obländer, Nadine Weimer, Iris Palme, Melda Göl, Hong-hu Zhu, Wolf-Karsten Hofmann, Daniel Nowak, Vladimir Riabov

“…We performed comprehensive machine learning-based bioinformatics analyses, including unsupervised consensus clustering, a total of 10 machine-learning algorithms for prognostic prediction and the Connectivity map tool for drug sensitivity prediction. …”
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