Modern strategies of alternative insulin delivery systems by І. О. Vlasenko, L. L. Davtian, V. V. Hladyshev

“…Innovations in alternative insulin delivery systems include algorithms for continuous glucose monitoring systems, glucose-sensitive polymer matrices and biological structures with insulin. …”
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Metastatic bone lesions of men in combination with an increase in serum PSA from the point of view of diagnosing carcinomas of unknown primary localization by O. V. Poslavska, I. S. Shponka, P. O. Hritsenko, M. Yu. Petrova

“…The literature describes carcinomas with bone metastases and an increase in the prostate-specific antigen, which were twice refuted by a prostate biopsy but had a positive dynamic during anti-androgen therapy (bicalutamide) in combination with chemotherapy (zoledronic acid). The aim of the work is to improve diagnostic algorithms, to investigate a complex of morphological, morphometric and immunohistochemical characteristics of metastatic foci in the bones, which are represented by adenocarcinomas of unknown primary localization in men with increased serological marker PSA, compared with primary carcinomas of the prostate gland. …”
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Identification of marker genes associated with oxidative stress in hypertrophic cardiomyopathy using bioinformatics analysis and experimental validation by Jian Zhuo, Ding Ding, Mengkang Fan, Weiwei Lu, Xiaochen Lu, Lihong Yao, Hongzhuan Sheng

“…After differential analysis, marker genes were obtained using LASSO and SVM-RFE algorithms. DAVID was used, along with the GSVA and GSEA packages to perform gene ontology, pathway function enrichment, and gene set enrichment analyses. …”
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Markov model of representation of sensual images for the formation of the model of the outside world by A. A. Solodov

“…The aim of the study is a probabilistic description of the functioning of the cognitive system, taking into account its internal logic and interaction with the external environment.Such concepts of cognitive theory as sensory imaginative representations, models, systems are the most common, so the attempt to formalize them is by obtaining the most common results. …”
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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

“…Lifestyle and physical activity levels were identified as significant predictors influencing mortality risk. ML algorithms, notably RSF, effectively predict mortality risk in AD patients, demonstrating clear advantages over traditional statistical models. …”
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Development and validation of a nomogram for predicting low Kt/Vurea in peritoneal dialysis patients by Danfeng Zhang, Tian Zhao, Liting Gao, Huan Zhu, Haowei Jin, Guiling Liu, Deguang Wang

“…Univariate logistic regression, LASSO analysis, and Random Forest (RF) algorithms were employed to identify potential biomarkers. …”
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Exploring the key ingredients and mechanisms of Banxia Xiexin decoction for the treatment of polycystic ovary syndrome based on network pharmacology and experimental validation by Bai Hai, Yingying Zhang, Jing Huang, Richard Mprah, Mingming Wang

“…KEGG analysis showed they were mainly involved in signaling pathways such as PI3K-AKT, MAPK, HIF-1 and IL17. By PPI and algorithmic analysis, we identified 8 hub genes, 5 of which (JUN, MAPK1, MAPK3, FOS, TP53) were related to oxidative stress. …”
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Deciphering microbial and metabolic influences in gastrointestinal diseases-unveiling their roles in gastric cancer, colorectal cancer, and inflammatory bowel disease by Daryll Philip, Rebecca Hodgkiss, Swarnima Kollampallath Radhakrishnan, Akshat Sinha, Animesh Acharjee

“…(CRC: n = 150, Healthy: n = 127) were subjected to three machine learning algorithms, eXtreme gradient boosting (XGBoost), Random Forest, and Least Absolute Shrinkage and Selection Operator (LASSO). …”
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Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic by Muhammed Ballı, Asli Ercan Dogan, Sevin Hun Senol, Hale Yapici Eser

“…Data from 924 university students seeking mental health services were analyzed using seven machine learning algorithms. Suicidal ideation was assessed through the 9th item of the Patient Health Questionnaire-9. …”
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Multi-Ethnic Analysis of Cardiac Pharmacogenetic Markers of Cytochrome P450 and Membrane Transporters Genes in the Russian Population by K. B. Mirzaev, D. S. Fedorinov, D. V. Ivashchenko, D. A. Sychev

“…Aim. To summarize Russian studies using pharmacogenetic testing as applied to cardiology.Material and methods. …”
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Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

“…Basophil count, while ranked highest by SHAP, showed low sensitivity, highlighting the difference between algorithmic weight and bedside utility. Conclusion: These findings support the integration of routine, readily available laboratory data into an explainable AI framework to accurately predict culture positivity. …”
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Prediction of hypertensive disorders in pregnant women in the «gray» risk zone following combined first-trimester screening by N. V. Mostova, V. V. Kovalev, E. V. Kudryavtseva

“…HDP prediction is a milestone that allows preventing complications as well as reducing the number of most common relevant complications of pregnancy. Existing algorithms that predict PE risk distribute the risks in such a way that a considerable number of patients fall into the category of false negative results, and, consequently, receive no timely prevention and proper follow-up. …”
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Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study by Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

“…The system provided diagnostic recommendations based on machine learning algorithms trained on data from the National Health Insurance Research Database. …”
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Visual analysis of research trends in diabetes-associated dry eye via bibliometrics by Zhe Yang, Jia-Yi Jiang, Xiao-Hui Zhang

“…Building risk prediction models using machine learning algorithms is a promising future research direction, enabling physicians to identify high-risk individuals and implement early interventions.…”
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The impact of virtual rheumatology care on patient outcomes and hospital admissions: an ambispective study by Ummugulsum Gazel, Tommy Han, Seyyid Bilal Acikgoz, Tara Swami, Ricardo Sabido-Sauri, Hart Goldhar, Nataliya Milman, Nancy Maltez, Catherine Ivory, Susan Humphrey-Murto, Sibel Aydin

“…These findings suggest that virtual care is here to stay for some patients and in some circumstances, and it is important to establish algorithms for implementing it to healthcare system. …”
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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

“…Additionally, we seek to develop more accurate text classification algorithms to improve the precision of Chinese medical abstract classification. …”
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MANAGING THE DEVELOPMENT OF AGRO-INDUSTRIAL CLUSTERS by D. V. Zavyalov, O. V. Saginova, N. B. Zavyalova

“…As one of the measures capable to refract a similar negative situation, development of the concept of management of agro-industrial clusters formed on the basis of an information system of "a digital cluster" which includes algorithms and methods of optimization of information, material and financial flows for achievement of desirable indicators of economic activity by all participants of cluster structure is recommended. …”
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Identification of cell specific biomarkers for intellectual disability via single cell RNA sequencing and transcriptomic bioinformatics approaches by Kh Mujahidul Islam, Md Habibur Rahman, Md. Arju Hossain, Mahfuj Khan, Md. Mizanur Rahman, Prosenjit Saha Apu, Md Imran Hasan, Siddique Akber Ansari, Mahammad Humayoo

“…Additionally, eleven topological algorithms discovered only one hub protein, namely RPS27A from the protein-protein interaction (PPI) network. …”
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ANALYSIS OF ACOUSTIC INFORMATION PROTECTION METHODS IN CRITICAL APPLICATIONS by Mykhailo Mozhaiev, Oleksandr Mozhaiev, Yurii Gnusov, Volodymyr Strukov, Petro Klimushin, Dmytro Yevstrat

“… Subject of the study: the process of acoustic information protection in computer systems of critical applications to ensure the required level of system security. The aim of the article is to analyze the methods of acoustic information protection in computer systems of critical application by means of masking to ensure the impossibility of unauthorized access to the system. …”
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Development and Use of Biotechnological System Models in Applied Scientific Research by M. A. Kerimov

“…(Research purpose) The research aims to substantiate the conceptual approach to the functioning of an «operator-machine-animal» biotechnical system, taking into account the subsystem interaction patterns. …”
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