Fault Diagnosis Method for Circuit Breaker Opening and Closing Coil Based on IEMD and GA-WNN by Tianhui LI, Xianhai PANG, Hui FAN, Li ZHEN, Chaomin GU, Chi DONG

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Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis by Hang Chen, Biao Wu, Biao Wu, Kunyu Guan, Liang Chen, Kangjie Chai, Maoji Ying, Dazhi Li, Weicheng Zhao

“…Additionally, the ssGSEA algorithm further validated the association of these diagnostic genes with various immune cells. …”
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Clinical Variations of Uveitis in Immuno-Inflammatory Diseases. Review of the Literature. Part 1 by G. A. Davydova, T. A. Lisitsyna, L. A. Kovaleva, E. S. Sorozhkina, A. A. Zaitseva, A. A. Baisangurova

“…Despite the currently existing diagnostic and therapeutic schemes, further study of the pathogenesis of uveitis associated with immune-inflammatory diseases is required, the research of a personalized approach and an algorithm for joint multidisciplinary diagnosis by specialists in various fields. …”
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Plasma metabolite biomarker identification study for the early detection of gastric cancer by Juan Zhu, Yida Huang, Bin Liu, Xue Li, Li Yuan, Le Wang, Kun Qian, Yingying Mao, Lingbin Du, Xiangdong Cheng

“…Five machine learning algorithms (neural network, support vector machine, ridge regression, lasso regression and Naïve Bayes) were used to build a diagnostic model. …”
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Fault diagnosis model of rolling bearings based on the M-YOLO network by NING Shaohui, ZHANG Shaopeng, WU Yukun, DU Yue, FAN Xiaoning

“…The rolling bearing is taken as the research object, and the fault diagnosis algorithm with two-dimensional signal as the input is studied, and the fault diagnosis model of rolling bearing based on M-YOLO network is constructed for the problems of multi-condition fault diagnosis, small data sample, and long model training time.MethodsFirstly, the mosaic data augmentation method was used to enrich the samples to improve the interference of unbalanced data on the diagnostic results. …”
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Endoscopic autofluorescence imaging in the diagnosis of premalignant lesions and laryngeal/hypopharyngeal cancer by I. О. Taraskina, О. V. Cheremisina, О. V. Pankova, M. R. Mukhamedov, О. A. Ananina

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Possibilities of using a FRAX® risk calculator for 10-year probability of fractures assessment in patients with rheumatoid arthritis by O. A. Nikitinskaya, N. V. Toroptsova, E. L. Nasonov

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MEDULLARY THYROID CARCINOMA by V. S. Medvedev, P. A. Isayev, A. A. Ilyin, D. Yu. Semin, V. V. Polkin, D. N. Derbugov, S. V. Vasilkov

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Simple Imaging System for Label-Free Identification of Bacterial Pathogens in Resource-Limited Settings by Clément Douarre, Dylan David, Marco Fangazio, Emmanuel Picard, Emmanuel Hadji, Olivier Vandenberg, Barbara Barbé, Liselotte Hardy, Pierre R. Marcoux

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Phantom kidney at angionephroscintigraphy by S. P. Mironov, V. B. Sergienko, O. Yu. Narusov, D. N. Shul’gin

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The functional approach in aspect of the innovations fundamental in medicine by Olga Alekseevna Butova

“…The functional approach to the analysis of linkages morph functional in characteristics and parameters of the element status of the female organism in carriage disorder exposed optimal adaptive capability during the second childhood period and adolescence, and disadaptive changes in life-support systems in the adolescent period of ontogeny. Diagnostic algorithm which had been used in combination with the research of the cell proteome will allow to approach to innovative methods of diagnosis and carriage disorder.…”
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Methodological Support for Applying the Method of Majority Reservation in Measuring Channels by N. V. Minchev

“…The computational complexity of the developed algorithm is estimated by a polynomial of the second degree.Conclusion. …”
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Complex Approach to the Diagnosis of Children with Nasal and Nasopharyngeal Pathology. Key Results by Leyla S. Namazova-Baranova, Viktor A. Gankovsky, Irina V. Zelenkova, Svetlana G. Gubanova, Alexander V. Pashkov, George A. Karkashadze, Elena A. Vishneva, Elena V. Kaytukova, Kamilla E. Efendieva

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Combined Blunt Splenic Injury in Adults: Modern Approach to Diagnosis and Treatment by V. V. Aleksandrov, S. S. Maskin, V. V. Matyukhin

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Development of an AI-Based Self-Diagnosis System for Tropical Diseases by Muhammad Haris Nasri, Bayu Wibisanaa, Lilik Widyawati

“…The novelty of this research lies in the integration of these two artificial intelligence methods, offering an innovative solution to enhance diagnostic capabilities. …”
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Risk factors for diabetic autonomic cardiovascular neuropathy in children and adolescents with type 1 diabetes mellitus by Maria Rustemovna Shaidullina, Farida Vadutovna Valeeva, Eduard Zakirzyanovich Yakupov

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An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

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PREOPERATIVE AND POSTOPERATIVE PULMONARY REHABILITATION IN PATIENTS WITH LUNG CANCER AND CHRONIC OBSTRUCTIVE PULMONARY DISEASE by S. Yu. Dobner, S. A. Tuzikov, T. S. Аgeeva, E. N. Samtsov, A. V. Dubakov, I. G. Sinilkin, A. Yu. Dobrodeev

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ECG Signal Classification of Cardiovascular Disorder using CWT and DCNN by Tawfikur Rahman, Rasel Ahommed, Nibedita Deb, Utpal Kanti Das, Md. Moniruzzaman, Md. Alamgir Bhuiyan, Farzana Sultana, Md. Kamruzzaman Kausar

“…Background: Cardiovascular Diseases (CVD) requires precise and efficient diagnostic tools. The manual analysis of Electrocardiograms (ECGs) is labor-intensive, necessitating the development of automated methods to enhance diagnostic accuracy and efficiency.Objective: This research aimed to develop an automated ECG classification using Continuous Wavelet Transform (CWT) and Deep Convolutional Neural Network (DCNN), and transform 1D ECG signals into 2D spectrograms using CWT and train a DCNN to accurately detect abnormalities associated with CVD. …”
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Multidisciplinary Approach To The Problem Of Managing Children With Frequent Respiratory Infections Of The Upper Respiratory Tract: Key Results by Leyla S. Namazova-Baranova, Svetlana G. Gubanova, Irina V. Zelenkova, Viktor A. Gankovskii, Marina V. Egorova, Julia G. Levina, Elena V. Kaytukova, Kamilla E. Efendieva, Elena A. Vishneva

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