THE METHOD FOR PREDICTING THE TYPE OF SCAR TISSUE IN THE TREATMENT OF BURN WOUNDS by Yu. V. Yurova, E. V. Zinoviev, K. M. Krylov

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Non-compaction cardiomyopathy. Part II: limitations of imaging techniques and genetic screening, clinical observations by T. G. Vaikhanskaya, L. N. Sivitskaya, T. V. Kurushko, T. V. Rusak, O. D. Levdansky, N. G. Danilenko, O. G. Davydenko

“…A promising solution is the development of a multistep algorithm for the diagnosis of NCM with the integration of familial, morphological, genetic and clinical data.The article presents a brief literary review on NCM diagnosis with a discussion of own research and comparative characteristics of clinical and genetic data. …”
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Interstitial lung disease in rheumatoid arthritis: A multidisciplinary problem in rheumatology and pulmonology by E. L. Nasonov, L. P. Ananyeva, S. N. Avdeev

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Interstitial lung disease in rheumatoid arthritis: A multidisciplinary problem in rheumatology and pulmonology by E. L. Nasonov, L. P. Ananyeva, S. N. Avdeev

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Machine Learning-Based Ensemble Feature Selection and Nested Cross-Validation for miRNA Biomarker Discovery in Usher Syndrome by Rama Krishna Thelagathoti, Dinesh S. Chandel, Wesley A. Tom, Chao Jiang, Gary Krzyzanowski, Appolinaire Olou, M. Rohan Fernando

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Diagnosis of winter precipitation types using the spectral bin model (version 1DSBM-19M): comparison of five methods using ICE-POP 2018 field experiment data by W. Bang, J. T. Carlin, K. Kim, A. V. Ryzhkov, A. V. Ryzhkov, G. Liu, G. Lee

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Miniinvasive paracentetic drain surgical interventions under ultrasonic control concerning liquid formations of abdominal cavity by G.I. Ohrimenko, N.G. Golovko, V.A. Grushka, Y.I. Gaidarzhi

“…Research aim. To study the results of diagnostics and treatment of patients with liquid formations of abdominal cavity that were exposed to miniinvasive surgical interventions under ultrasonic control and, on the basis of it, to work out an optimal curative diagnostic algorithm. …”
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Overall survival in colon cancer patients with different levels of circulating tumor cells and feasibility of enhancing its prognostic value by O. I. Kit, E. Y. Zlatnik, I. A. Novikova, E. P. Ulianova, A. A. Demidova, E. N. Kolesnikov, Yu. A. Gevorkyan, N. V. Soldatkina, A. V. Snezhko

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Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases by Wanshan Ning, Zhicheng Wang, Ying Gu, Lindan Huang, Shuai Liu, Qun Chen, Yunyun Yang, Guolin Hong

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EPILEPSY ASSOCIATED WITH EPILEPTIC EYELID MYOCLONIA WITH OR WITHOUT ABSENCES by M. B. Mironov, M. Yu. Bobylova, M. O. Abramov, T. M. Krasilshchikova, A. N. Zavadenko, I. O. Shchederkina, А. S. Petrukhin

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Methods for forming skills of solving “rule of three” problems by Lyubov Leonidovna Burkova, Lyana Levovna Bagova

“…In the course of the research structurally meaningful components of the algorithm for working on a text problem at the fixing stage are specified. …”
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Criteria for diagnosis of humoral rejection using the method of 2D-speckle-tracking echocardiography by L. K. Tkhatl, T. V. Stavenchuk, E. D. Kosmachova, I. A. Pashkova

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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

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Efficacy of artificial intelligence-based FFR technology for coronary CTA stenosis detection in clinical management of coronary artery disease: a systematic review by Tong Liu, Ming Liu, Ailiyaerjiang Aisika, Palidanmu Wumaier, Abudukeyoumujiang Abulizi, Abudukeyoumujiang Abulizi, Jingru Wang, Mayidili Nijiati, Mayidili Nijiati

“…We analyze comparative diagnostic performance between AI-FFR and conventional methods, providing insights for future research directions and clinical applications.…”
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Pathology in a digital realm: food for thought! by Palzum Sherpa

“…Its application includes primary diagnosis, telepathology, archiving, education, and research. Verification and validation studies with a high level of diagnostic concordance to light microscopy reassure its potential.2 The benefits comprise improved organization devoid of issues related to faded stains, broken and missing slides, efficient storage, accurate measurements of critical values, and rapid consultation with a shorter turnaround time.1 It supports in sustaining remote institutes facing a shortage of pathologists. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…MSCAS-Net demonstrates a breakthrough in automated DR diagnostics since it combines high diagnostic precision with interpretable abilities to become an efficient AI-powered clinical decision support system. …”
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Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…Similarly, serum levels of RDH10 were significantly lower in MASLD and T2DM model mice and humans than in controls.ConclusionOur study suggests that RDH10 is a common diagnostic marker for MASLD and T2DM and provides new research directions for the prevention and treatment of MASLD and T2DM.…”
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Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review by Pierpaolo Dini, Davide Paolini

“…By structuring insights from the extensive literature, this paper aims to establish ANNs as a foundational tool in next-generation battery management systems, ultimately supporting safer and more efficient EVs through real-time fault detection, accurate SOC estimation, and robust safety protocols. Future research directions include refining dataset quality, optimizing algorithm selection, and enhancing diagnostic precision, thereby broadening ANNs’ role in ensuring reliable battery management in electric vehicles.…”
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Determining of Treatment Tactic and Planning of Atypical Removal of Asymptomatic and Without Any Pathological Changes Impacted Mandibular Third Molars by Vares Y., Kyyak S.

“…Material and research methods. With the aim of correct management of asymptomatic and without any pathological changes impacted mandibular third molars a number of criterion were collected and classified. …”
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Breast Cancer MRI Classification Based on Fractional Entropy Image Enhancement and Deep Feature Extraction by Ali M. Hasan, Asaad F. Qasim, Hamid A. Jalab, Rabha W. Ibrahim

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