HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Bayesian compositional generalized linear mixed models for disease prediction using microbiome data by Li Zhang, Xinyan Zhang, Justin M. Leach, A. K. M. F. Rahman, Carrie R. Howell, Nengjun Yi

“…We fitted the proposed models using Markov Chain Monte Carlo (MCMC) algorithms with rstan. The performance of the proposed method was evaluated through extensive simulation studies, demonstrating its superiority with higher prediction accuracy compared to existing methods. …”
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Deep Mining on the Formation Cycle Features for Concurrent SOH Estimation and RUL Prognostication in Lithium-Ion Batteries by Dongchen Yang, Weilin He, Xin He

“…By integrating diverse datasets with advanced algorithms and models, we perform correlation analyses of parameters such as capacity, voltage, temperature, pressure, and strain, enabling precise SOH estimation and RUL prediction. …”
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HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations by Xiaopeng Wang, Xue Liang

“…This research serves to unite conventional recommendation algorithms with English literature reading requirements. …”
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Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

“…The experimental results demonstrated that our hybrid model significantly outperforms traditional machine learning algorithms, achieving an accuracy of 99.93% and a recall of 0.89 on the Credit Card Fraud dataset (CCF). …”
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Ethical and privacy challenges of integrating generative AI into EHR systems in Tanzania: A scoping review with a policy perspective by Augustino Mwogosi

“…Results The review identified six key ethical and privacy challenges associated with generative AI in EHR systems: data privacy and security risks, algorithmic bias and fairness concerns, transparency and accountability issues, consent and autonomy challenges, human oversight gaps and risks of data re-identification. …”
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Features of the microelement composition of saliva in elderly patients by A. M. Imanov, Y. A. Mazur, E. M. Kakabadze

“…According to the results of the review study, it should be noted that it is promising to study the possibilities of the microelement composition of saliva in elderly patients both as an auxiliary method for diagnosing various pathological conditions and in developing algorithms for the prevention and treatment of a number of diseases, as well as a method for evaluating the effectiveness of ongoing therapeutic procedures.…”
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Selection and optimization of a unified protocol for transmitting measurement results in information and measurement systems with adaptive settings by Yu.O. Podchashynskyi, O.S. Ishchenko

“…Additionally, issues of buffering, information storage, time synchronization, and the use of dynamic aperture for more efficient data transmission are discussed. Algorithms for synchronization and optimization of data transfer are proposed, which can significantly improve efficiency.…”
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STRATEGIC MANAGEMENT OF THE ECONOMIC SUSTAINABILITY OF A COMPANY IN THE PARADIGM OF FUZZY LOGIC by Yu. A. Malyukov, A. O. Nedosekin, Z. I. Abdoulaeva

“…This makes the study highly relevant and practical.…”
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PREVALENCE OF PERIODONTAL TISSUE DISEASES IN CHILDREN WITH AUTISM by D.V. Danyliuk, I.S. Dubetska-Hrabous

“…This requires the creation of special educational programs for children with autism in order to develop algorithms for providing individualized dental care to these children. …”
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A hybrid approach to time series forecasting: Integrating ARIMA and prophet for improved accuracy by Sherly A, Mary Subaja Christo, Jesi V Elizabeth

“…This paper explores various forecasting models and algorithms applied to time series data in edge environments, focusing on both univariate and multivariate approaches. …”
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Using machine learning for the assessment of ecological status of unmonitored waters in Poland by Andrzej Martyszunis, Małgorzata Loga, Karol Przeździecki

“…Study shows highest efficiency of XGBoost and Random Forest algorithms for classification of unmonitored water bodies. …”
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Heparin-Induced Hyperkalemia Assessment Utilizing the Naranjo Adverse Drug Reaction Probability Scale: A 40-Year Systematic Review by Divita Singh, Omnia A. E. A. Mesalhy, Michael J. Cawley

“…Unfractionated heparin- and low-molecular-weight heparin-induced hyperkalemia are side effects that have been reported in approximately 7 to 8% of heparin-treated patients. Algorithms, assessment tools, and decision aids are needed to assist in determining the causality of these adverse drug reactions. …”
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Dynamic Processes of Development Jointing of a Fractal Type: Models for a Solid-State Material of the Chamber in a Power Facility during its Operation by T. V. Ryzhova, D. N. Bukharov, M. M. Arakelyan, S. M. Arakelyan

“…Although the analysis carried out is a model in the general formulation with known representation algorithms, nevertheless it is based on relevant physical principles and has obvious practical significance in terms of determining trends and directions for assessing the reliability and durability of such installations. …”
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Issues, Challenges, and Solution Options for On-Grid Multi-Microgrid Game Theory: A Systematic Review by Dimas Jalaluddin Ahmad, Nanang Hariyanto, Umar Khayam

“…This article will focus on a systematic review of various relevant and credible literature papers on the game theory-based on-grid MMG topic using the Kitchenham method. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. …”
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Modern Trends, Examples and Methods for Assessing Physical Activity of City Residents by D. A. Andreev, N. N. Kamynina

“…This review was carried out with the aim of considering modern trends, examples and common methods of physical activity assessment of city residents.Materials and methods. Relevant information was collected using PubMed and E-Library databases. …”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…The integration of multiple data modalities and advanced machine learning algorithms enables earlier detection, more accurate monitoring, and optimized therapeutic interventions. …”
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MASTERING THE TOOLS OF CITATION DATABASES IN HIGHER MEDICAL EDUCATION by H. Morokhovets, Yu. Lysanets, L. Ostrovska, T. Purdenko

“…The aim of the paper is to cover the methods of working with the world scientific and metric databases of literature, as well as to explain the essence and algorithms for calculating the major scientific and metric indicators. …”
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Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection by Seyedmostafa Sheikhalishahi, Sebastian Goss, Lea K. Seidlmayer, Sarra Zaghdoudi, Ludwig C. Hinske, Mathias Kaspar

“…The model integrated 32 relevant clinical variables and compared the performance of XGBoost and logistic regression (LR) algorithms. …”
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