Abnormal cervical smears in the unchanged uterine cervix: difficulties in the screening, diagnosis, and treatment of cervical intraepithelial neoplasias and microinvasive cancer by L. I. Korolenkova

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On-line Diagnosis Technology for the Shock Absorbers on Subway Vehicle Based on RLS by WANG Yu, LYU Yu, ZHAO Muhua

“…By means of FMECA analysis method, the failure mode of subway suspension components and the block diagram of reliability between parts were studied, and the correlation between failure modes of suspension components was analyzed. Diagnostic results show that the RLS algorithm has better tracking convergence effect in the shock absorber online parameter identification.…”
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Hepatopulmonary syndrome by V. T. Ivashkin, M. A. Morozova, M. V. Mayevskaya

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Epstein–Barr virus infection in patients after hematopoietic stem cells transplantation by D. N. Balashov, L. N. Shelikhova, A. A. Demushkina, P. E. Trakhtman, Ye. V. Skorobogatova, D. V. Litvinov, Ye. V. Raykina, A. A. Maschan

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Cytomegalovirus infection in immunocompetent pregnant women: clinical manifestations and management tactics by N. V. Rogozina, V. V. Vasil’ev, N. S. Bezverhaja, R. A. Ivanova, G. M. Ushakova, E. S. Romanova

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Analysis and validation of serum biomarkers in brucellosis patients through proteomics and bioinformatics by Xiao Li, Bo Wang, Xiaocong Li, Juan He, Yue Shi, Rui Wang, Dongwei Li, Ding Haitao, Ding Haitao

“…IntroductionThis study aims to utilize proteomics, bioinformatics, and machine learning algorithms to identify diagnostic biomarkers in the serum of patients with acute and chronic brucellosisMethodsProteomic analysis was conducted on serum samples from patients with acute and chronic brucellosis, as well as from healthy controls. …”
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Deep learning-based automated segmentation and quantification of the dural sac cross-sectional area in lumbar spine MRI by George Ghobrial, Christian Roth

“…This study evaluates the efficacy of deep learning models for automating DSCA measurements in lumbar spine MRIs to enhance diagnostic precision and alleviate the workload of radiologists.MethodsFor algorithm development and assessment, we utilized two extensive, anonymized online datasets: the “Lumbar Spine MRI Dataset” and the SPIDER-MRI dataset. …”
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Digital Technology of Assesment the Power Capacity of Tractor Fleet of an Agricultural Enterprise by V. V. Alt, O. F. Savchenko, O. V. Elkin

“…(Results and discussion) The authors have developed an algorithm of ICE power calculation in real time taking into account speed considerations and developed a diagnostic device providing data recording, calculation of ICE speed and power characteristics, as well as information support of the entire production cycle. …”
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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

“…Importantly, computer support in medical diagnostics often requires algorithms that are appropriate for processing data expressing uncertainty and that can ensure high-quality diagnostics. …”
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Snoring Sounds Classification of OSAHS Patients Based on Model Fusion by Yexin LUO, Jianxin PENG, Li DING, Yikai ZHANG, Lijuan SONG, Qianfan ZHANG, Houpeng CHEN

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Left ventricular noncompaction associated with titin-truncating variants in the TTN gene by Yu. A. Vakhrushev, T. I. Vershinina, P. A. Fedotov, A. A. Kozyreva, A. M. Kiselev, Yu. V. Fomicheva, E. S. Vasichkina, T. M. Pervunina, A. A. Kostareva

“…We identified genetic variants in the TTN gene leading to the synthesis of truncated protein: in the first two cases, the cause of noncompaction was a thirteen nucleotide deletion with a reading frame shift, in the second, a nonsense mutation. An algorithm for assessing the pathogenicity of the identified variants and a scheme of diagnostic genetic search are presented.Conclusion. …”
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Clinical prediction model for MODY type diabetes mellitus in children by D. N. Laptev, E. A. Sechko, E. M. Romanenkova, I. A. Eremina, O. B. Bezlepkina, V. A. Peterkova, N. G. Mokrysheva

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Clinical recommendations for the use of ocrelizumab in patients with multiple sclerosis by A. N. Boyko, M. V. Davydovskaya, N. V. Khachanova, M. N. Zakharova, N. N. Spirin, E. V. Popova, V. M. Alifirova, Ya. V. Vlasov, S. A. Sivertseva, F. A. Khabirov, M. V. Shumilina, E. P. Evdoshenko

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New-Onset Refractory Status Epilepticus (NORSE): literature review and clinical case description by S. G. Burd, M. B. Mironov, E. R. Moizykevich, Yu. V. Rubleva, M. A. Bogomazova, А. V. Yurchenko, T. M. Krasilshchikova, A. Yu. Suvorov, A. V. Lebedeva, R. T. Tairova

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Phenotyping of outpatients with heart failure with preserved ejection fraction and poor prognosis by V. N. Larina, V. I. Lunev

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Express Immunochromatographic Detection of Rotavirus and Adenovirus Antigens in Pre-Hospital Differential Diagnosis of Acute Abdominal Pain in Children by Ekaterina A. Romanova, Leyla S. Namazova-Baranova, Elena Yu. Dyakonova, Aleksey Yu. Romanov, Kazbek S. Mezhidov, Zharadat I. Dohshukaeva

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Failure mechanism-driven multi-adversarial domain transfer learning for rolling bearing fault diagnosis by Zhihui Zhang, Zhidan Zhong, Zhe Li, Wentao Mao, Yunhao Cui

“…However, existing data-driven methods often face performance bottlenecks in cross-condition diagnostic tasks due to a lack of understanding of physical failure mechanisms. …”
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TREATMENT OPTIMIZATION OF KIDNEY RECIPIENTS WITH PRE-TRANSPLANT PROLONGED ANURIA by A. V. Kolsanov, B. I. Kharitonov, I. A. Bardovsky

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DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge by Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana M. Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyunsu Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sebastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz R. Hernandez Petzsche, Michael Müller, Bjoern Menze, Jan S. Kirschke, Benedikt Wiestler

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Corynebacterium propinquum bronchopneumonia in a child with ataxia telangiectasia by Gülşah Malkoçoğlu, Haşim Gencer, Ayşenur Kaya, Nazan Dalgıç, Mehmet Emin Bulut, Elif Aktaş

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