Validation of the Somnolyzer 24×7 automatic scoring system in children with suspected obstructive sleep apnea by Ignacio Boira, Violeta Esteban, José Norberto Sancho-Chust, Esther Pastor, Paula Fernández-Martínez, Anastasiya Torba, Eusebi Chiner

“…Automatic scoring by current computer algorithms shows high agreement with manual scoring. …”
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Segmentation of dermatoscopic images of skin lesions. Comparison of methods by A. F. Smalyuk, M. S. Dzeshka, I. D. Kupchykava

“…This will allow to identify changes that have occurred in skin lesions over time, for a more accurate diagnosis of their malignancy. The proposed algorithm makes it possible to detect differences in images even if there is a significant difference in the brightness and color levels of the compared images, and also ignores small insignificant details, such as noise, dermatoscope optics marks, hair, etc. …”
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A Collaborative Domain Adversarial Network for Unlabeled Bearing Fault Diagnosis by Zhigang Zhang, Chunrong Xue, Xiaobo Li, Yinjun Wang, Liming Wang

“…Second, the multi-kernel clustering algorithm is used to compute the differences in input feature values, create pseudo-labels for the target domain samples, and update the CDAN network parameters through backpropagation, enabling the network to extract domain-invariant features. …”
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Improvement of the bacteriological method for isolation of <i>Listeria monocytogenes</i> by Mikhail V. Khramov, Lyubov V. Domotenko, Olga V. Polosenko, Irina P. Mitsevich

“…Improving laboratory diagnostic methods especially in listeriosis meningitis to identify the pathogen in the shortest possible time remains an urgent problem. …”
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FDG‐PET patterns associate with survival in patients with prion disease by Nick Corriveau‐Lecavalier, Yoav D. Piura, Brian S. Appleby, Dror Shir, Leland R. Barnard, Venkatsampath Gogineni, David T. Jones, Gregory S. Day

“…Eigenvalues were input into a clustering algorithm to generate data‐driven clusters, which were compared by survival time. …”
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Psychometric properties of the German version of the Traumatic Grief Inventory-Self Report Plus (TGI-SR+) by Julia Treml, Viktoria Schmidt, Elmar Braehler, Matthias Morfeld, Anette Kersting

“…Despite the same name, both versions of PGD differ in symptom count, content, and diagnostic algorithm. …”
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Quality of life and physical working capacity in pulmonary sarcoidosis by A. L. Gudim, L. B. Postnikova, V. A. Kostrov, A. A. Mironov, N. I. Kubysheva

“…In patients with low QOL, CPET can be used to determine the PWC and mechanisms of its reduction. The presented diagnostic algorithm will optimize the choice of therapy for patients with sarcoidosis.…”
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Humoral and cellular immune responses to Yersinia pestis Pla antigen in humans immunized with live plague vaccine. by Valentina A Feodorova, Anna M Lyapina, Maria A Khizhnyakova, Sergey S Zaitsev, Lidiya V Sayapina, Tatiana E Arseneva, Alexey L Trukhachev, Svetlana A Lebedeva, Maxim V Telepnev, Onega V Ulianova, Elena P Lyapina, Sergey S Ulyanov, Vladimir L Motin

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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Abstract Background Gadolinium-enhanced “sampling perfection with application-optimized contrasts using different flip angle evolution” (SPACE) sequence allows better visualization of brain metastases (BMs) compared to “magnetization-prepared rapid acquisition gradient echo” (MPRAGE). …”
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Energy dependence of the response of X-ray multimeter for radiation qualities in mammography by Elisabeth Salomon, Peter Homolka, Istvan Csete, Paula Toroi

“…Abstract Ensuring comprehensive quality control of breast imaging systems involving ionizing radiation like mammography and tomosynthesis is crucial for high diagnostic confidence and maintaining an acceptable patient dose. …”
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Organisation of physical education at the university based on students’ constitutional types and health groups by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova

“…Today, the significant direction of scientific search in the field of health preservation is to study the interrelation of functional characteristics and motor skills of students of different constitutional types and health groups. Specific morphological and physiometric characteristics of an organism and belonging to a certain somatotype should be taken into account when organising physical training in higher education institutions.The aim of the research was to establish the degree of correlation of motor and functional characteristics of an organism of students with different constitutional types and health groups in order to improve an algorithm of planning and effective safe implementation process of physical training in a higher education institution.Methodology and research methods. …”
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GASTROINTESTINAL FOOD ALLERGY IN CHILDREN by Svetlana G. Makarova, Leyla S. Namazova-Baranova, Elena A. Vishneva, Oksana A. Ereshko, Irina G. Gordeeva

“…The article describes clinical forms of gastrointestinal food allergy according to the existing classification. Diagnostic algorithms and modern approaches  to differential diagnosis of disease based on evidence-based  medicine and corresponding to international consensus papers are given.…”
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Analysis of types of medical interventions for patients with pancreatic adenocarcinoma in hospitals of Saint Petersburg for the period from 2014 to 2020 by V. E. Moiseenko, A. V. Pavlovsky, D. A. Granov, L. V. Kochorova, N. I. Vishnjakov, V. V. Hizha, A. V. Yazenok, N. Ju. Shirshova, L. A. Solovyova

“…The volumes and methods of treatment differed for different localizations of the tumor node. …”
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Changes the Ocular Surface after Corneal Refractive Surgery. Review by S. V. Trufanov, E. V. Sukhanova, A. A. Tyurina

“…Modern corneal refractive surgery provides high efficiency, safety, predictability and stability of the different ametropia kinds correction’s clinically-functional results. …”
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Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning. by Hailin Li, Quhuan Li, Zuyan Fan, Yue Shen, Jiao Li, Fengxia Zhang

“…Podocyte heterogeneity and functional differences in DKD were observed. Multiple machine-learning algorithms were used to screen and construct diagnostic models to identify hub differentially expressed podocyte marker genes (DE-podos), revealing ARHGEF26 as a significantly downregulated marker in DKD. …”
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Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…Deep-learning (DL) algorithms were developed for the detection of enteric and gastric lesions. …”
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H-NMR metabolomics identifies three distinct metabolic profiles differentially associated with cardiometabolic risk in patients with obesity in the Di@bet.es cohort by Enrique Ozcariz, Montse Guardiola, Núria Amigó, Sergio Valdés, Wasima Oualla-Bachiri, Pere Rehues, Gemma Rojo-Martinez, Josep Ribalta

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Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview by Imran Ul Haq, Mustafa Mhamed, Mohammed Al-Harbi, Hamid Osman, Zuhal Y. Hamd, Zhe Liu

“…By extracting novel characteristics from diverse medical data sources, advanced identification techniques known as multimodal learning may be applied, enabling algorithms to analyze data from various sources and eliminating the need to train each modality. …”
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Identification and verification of XDH genes in ROS induced oxidative stress response of osteoarthritis based on bioinformatics analysis by Chengze Qiu, Zhiyong Zhang, Haocheng Wang, Na Liu, Ruixin Li, Zhiheng Wei, Benjie Wang, Nan Zhang

“…The limma package in R language was used to screen differently expressed genes (DEGs) from the GEO databases. …”
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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke by Gianluca Brugnara, Michael Baumgartner, Edwin David Scholze, Katerina Deike-Hofmann, Klaus Kades, Jonas Scherer, Stefan Denner, Hagen Meredig, Aditya Rastogi, Mustafa Ahmed Mahmutoglu, Christian Ulfert, Ulf Neuberger, Silvia Schönenberger, Kai Schlamp, Zeynep Bendella, Thomas Pinetz, Carsten Schmeel, Wolfgang Wick, Peter A. Ringleb, Ralf Floca, Markus Möhlenbruch, Alexander Radbruch, Martin Bendszus, Klaus Maier-Hein, Philipp Vollmuth

“…Pseudo-prospective external validation was performed in consecutive patients with suspected AIS from 4 different hospitals during a 6-month timeframe and demonstrated high sensitivity (≥87%) and negative predictive value (≥93%). …”
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