Assessment of structural changes in the left atrium myocardium according to cardiac magnetic resonance with contrast before and after balloon cryoablation in patients with persiste... by O. V. Stukalova, V. S. Kirilova, O. P. Aparina, E. B. Maykov

“…In Utah patients, stage 1 fibrosis was detected in 71,4% (n=20), stage 2 in 14,3% (n=4), stage 3 in 3,6% (n=1), stage 4 in 10,7% (n=3). 3 months after cryoablation, there was an increase in the severity of fibrosis of 2,7 [1,02; 18,8]% (p<0,001). …”
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Prognostic, oncogenic roles, and pharmacogenomic features of AMD1 in hepatocellular carcinoma by Youliang Zhou, Yi Zhou, Jiabin Hu, Yao Xiao, Yan Zhou, Liping Yu

“…Multidimensional bioinformatic algorithms were utilized to establish a risk score model for ARGs. …”
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Features of tactics of inspection of accident sites in the investigation of illegal interference in the activities of energy facilities using unmanned vehicles by S. L. Kislenko, A. B. Smushkin

“…At the same time, the importance of urgently studying the volatile memory of a working device is stated.Conclusions about the achievement of the research goal: the paper proposes adaptive algorithms for the investigator's actions in various investigative situations: when the functioning of the device was suppressed by electronic warfare; when the UAV was physically damaged or destroyed; when an attacker with a UAV control device (remote control, smartphone, laptop, special glasses, etc.) was detained at the scene; when the control device is detected, but the attacker himself has disappeared; when the attacker has destroyed the control device; when information from the UAV (video and sensor readings) was transmitted not only to the operator's device, but also to another addressee; when the operator was detained on the territory of the fuel and energy complex. …”
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Federated Learning Based on an Internet of Medical Things Framework for a Secure Brain Tumor Diagnostic System: A Capsule Networks Application by Roman Rodriguez-Aguilar, Jose-Antonio Marmolejo-Saucedo, Utku Köse

“…It enables machine learning or deep learning algorithms to establish a client–server relationship, whereby specific parameters are securely shared between models while maintaining the integrity of the learning tasks being executed. …”
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Breast thermography: a systematic review and meta-analysis by Ane Goñi-Arana, Jorge Pérez-Martín, Francisco Javier Díez

“…However, advances in infrared technology and image processing algorithms in the twenty-first century led to a renewed interest in thermography. …”
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Multi-omics integration and machine learning uncover molecular basal-like subtype of pancreatic cancer and implicate A2ML1 in promoting tumor epithelial-mesenchymal transition by Jiachen Ge, Jianping Cai, Gaolei Zhang, Deyu Li, Lianyuan Tao

“…Following the identification of A2ML1 as a key gene, its expression profile was detected using RT-qPCR, western blotting, and immunohistochemistry. …”
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Exploration of Biomarkers of Psoriasis through Combined Multiomics Analysis by Lu Xing, Tao Wu, Li Yu, Nian Zhou, Zhao Zhang, Yunjing Pu, Jinnan Wu, Hong Shu

“…This study aims to screen potential diagnostic indicators affected by DNA methylation for psoriasis based on bioinformatics using multiple machine learning algorithms and to preliminarily explore its molecular mechanisms. …”
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Adverse events associated with vismodegib: insights from a real-world pharmacovigilance study using the FAERS database by Bingqing Wang, Kaidi Zhao, Ningyi Xian, Landong Ren, Jiashu Liu, Chen Tu, Dewu Zhang

“…Disproportionality analysis was conducted using four algorithms: Reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and Bayesian confidence propagation neural network to assess the safety profile of vismodegib in clinical practice. …”
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Therapeutic and Diagnostic Tactics for Metastases to the Lymph Nodes of the Neck without an Identified Primary Focus by M. I. Sokolova, V. I. Pavlova

“…Prospective multicenter studies are required to improve and optimize the algorithms for diagnosis and treatment of these patients.…”
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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

“…This model can also be used as a structural health-monitoring tool to detect the early damages in the RC columns.…”
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A comprehensive in silico investigation unravels the structural and functional consequences of non-synonymous single-nucleotide polymorphisms in human OXTR gene by Puja Mazumder, Shuvo Chandra Das, Sobuj Mondol, Ibrahim Khalil Afif, Mithu Howlader, Shipan Das Gupta, Md. Murad Hossain, Md. Mijanur Rahman

“…Twenty different sequence and structure-based bioinformatics tools and algorithms were utilized to characterize the pathogenic impacts of nsSNPs on the structure, function, stability, and conservation of OXTR protein. …”
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How real is the long-lasting effect of tumor necrosis factor α inhibitors? Focus on immunogenicity by D.E. Karateev

“…However, since ETN is a fusion molecule and contains less poten- tially immunogenic epitopes compared to mAbs, the frequency of detecting anti-drug antibodies (ADAbs) is appreciably lower. …”
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A pharmacovigilance analysis of post-marketing safety of durvalumab by An-Ju Tan, Wan-Ying Liu, Jun-Li Lu, Qing-Ying Tan, Yu Yan, Dun-Chang Mo

“…Four disproportionality analysis algorithms were used to detect signals between durvalumab and adverse events (AEs). …”
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Linear IgA bullous dermatosis secondary to drugs: a real-world pharmacovigilance study of the FDA adverse event reporting system by Yixuan Yang, Hanzhang Xie, Shuhan Liu, Ying Jia, Bingnan Cui, Zhanshuo Xiao

“…A significant statistical association was considered when a drug signal met the criteria of all four algorithms.ResultsIn the FAERS database analysis, we identified 1,394 adverse event (AE) reports associated with LABD. …”
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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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Sort & Slice: a simple and superior alternative to hash-based folding for extended-connectivity fingerprints by Markus Dablander, Thierry Hanser, Renaud Lambiotte, Garrett M. Morris

“…In contrast, sets of detected ECFP substructures are by default transformed into bit vectors using only a simple hash-based folding procedure. …”
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Solar background radiation temperature calibration of a pure rotational Raman lidar by V. Jayaweera, R. J. Sica, G. Martucci, A. Haefele, A. Haefele

“…Furthermore, the technique works for temperature retrievals using both the optimal estimation method and the traditional temperature algorithms.</p>…”
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Modeling residue formation from crude oil oxidation using tree-based machine learning approaches by Mohammad-Reza Mohammadi, Seyyed-Mohammad-Mehdi Hosseini, Behnam Amiri-Ramsheh, Saptarshi Kar, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour

“…Four advanced tree-based machine learning algorithms comprising gradient boosting with categorical features support (CatBoost), light gradient boosting machine (LightGBM), random forest (RF), and extreme gradient boosting (XGBoost) were utilized to develop accurate predictive models. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…This simplification enables organizations to detect bottlenecks and optimize workflows by uncovering trends and variations that might otherwise remain hidden. …”
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Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches by V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden

“…In this scenario, condition monitoring of the weld using machine learning algorithms is a remedy to detect the defects instantly. …”
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