Non-invasive fractional flow reserve: a comparison of one-dimensional and three-dimensional mathematical modeling effectiveness by D. G. Gognieva, E. S. Pershina, Yu. O. Mitina, T. M. Gamilov, R. A. Pryamonosov, N. A. Gogiberidze, A. N. Rozhkov, Yu. V. Vasilevsky, S. S. Simakov, F. Liang, V. E. Sinitsyn, V. B. Betelin, D. Yu. Schekochikhin, A. L. Syrkin, F. Yu. Kopylov

“…We estimated coronary FFR using the 1-D algorithm of the Laboratory of Mathematical Modeling (Sechenov University) and compared the diagnostic effectiveness of these methods.Results. …”
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Integrative bioinformatics analysis of pyroptosis-related genes and immune infiltration patterns in childhood asthma by Di Lian, Chenye Lin, Meiling Xie, JianXing Wei, Xueling Huang, Ke Lian, Qiuyu Tang

“…Targeting PRDEGs may offer new therapeutic avenues, and further research is warranted to validate these findings and explore the clinical applicability of suggested biomarkers in precision medicine for managing CA.…”
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An ImmunoSignature test distinguishes Trypanosoma cruzi, hepatitis B, hepatitis C and West Nile virus seropositivity among asymptomatic blood donors. by Michael Rowe, Jonathan Melnick, Robert Gerwien, Joseph B Legutki, Jessica Pfeilsticker, Theodore M Tarasow, Kathryn F Sykes

“…Accurate determination of infection or Chagas' disease activity and prognosis continues to challenge researchers. We hypothesized that a diagnostic platform with higher ligand complexity than previously employed may hold value.…”
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Determining Body Condition of Dairy Cows for Early Diagnosis of Physiological Diseases by D. Yu. Pavkin, S. S. Yurochka, A. A. Polikanova, I. M. Dovlatov

“…(Research purpose) To develop an algorithm for complex operational diagnostics of the physiological state of dairy cows by their live weight and body condition. …”
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Miniinvasive technologies in surgery of gallstone disease complicated by mechanical jaundice by A.S. Nikonenko, N.G. Golovko, V.А. Grushka, А.V. Klimenko, E.І. Gaidarzhi, D.А. Detsyk, I.V. Rusanov, G.І. Ohrimenko, Т.S. Gavrilenko, S.О. Matveyev

“…A similar situation cannot remain regardless and requires the search of new ways of decision of this problem. Research aim. Determination of the most optimal methods of diagnostics and treatment of patients with the gallstone disease complicated by mechanical jaundice and estimation of efficiency of their application. …”
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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…Furthermore, this survey identifies persistent challenges including clinical translation barriers, algorithm performance trade-offs, and feature extraction/selection limitations. …”
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Application of a Texture Appearance Model for Segmentation of Lung Nodules on Computed Tomography of the Chest by F. Shariaty, V. A. Pavlov, S. V. Zavjalov, M. Orooji, T. M. Pervunina

“…The results of applying the described TAM method to normal and noisy CT images are presented and compared to those obtained using the Region Growing and Active Contour algorithms, as well as the combination of Active Contour and Watershed algorithms. …”
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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…Conclusion: The STFP-based model advances the modeling of PD progression by improving classification accuracy and diagnostic clarity. Subsequent research will investigate more data modalities and their practical application in healthcare.…”
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Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
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NATURE AND FEATURES OF OCCLUSIVE INTERFERENCES IN PATIENTS WITH TEMPOMANDIBULAR DISORDERS AND STRATEGIC APPROACHES TO THEIR TREATMENT by A.Yu. Fetsych, T.I. Pupin

“…Materials and methods of research. The total group of such diagnosed patients was 151 persons, including 36 men and 115 women. …”
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Cluster-network interaction as a management tool for health tourism market in a regional economy by Матвей Оборин

“…Health tourism is characterized with a complicated industrial algorithm that requires not only the coordination of resource, infrastructure, and human resources, but also proper equipment and facilities for effective diagnostic, wellness, and rehabilitation procedures. …”
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Indirect determination of hemoglobin A2 reference intervals in Pakistani infants using data mining by Muhammad Shariq Shaikh, Sibtain Ahmed, Saba Farrukh, Shahnawaz Bayunus

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Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation by Senthil Jayapal, R. Annamalai

“…In order to identify metastases, pathologists are depending more and more on microscopic research. However, the diagnostic process is time-consuming and sometimes results in missed diagnoses. …”
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Clinical characteristics and severity of hand, foot, and mouth disease by virus serotype: A prospective hospital-based cohort study. by Yu Li, Junmei Yang, Lu Liang, Kai Wang, Lance Turtle, Peng Li, Yonghong Zhou, Yuanfang Shen, Peng Cui, Chongchen Zhou, Qi Qiu, Chun Guo, Mengyao Zeng, Lu Long, Tianchen Zhang, Malik Peiris, Benjamin J Cowling, Tom Solomon, Yibing Cheng, Peng Wu, Hongjie Yu

“…The study utilised a prospective, hospital-based cohort design and a tiered diagnostic algorithm incorporating real-time RT-PCR and nested RT-PCR for serotyping. …”
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Assessment of HIV prevalence in Adults Within the Aliade Community, Benue State. by Deborah Oboli, Monica Anurika Gbuchie, Tonte Nyingifa, Oluchi Mkpae

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Children’s Multisystem Inflammatory Syndrome, Associated With a New Coronavirus Infection (COVID-19): Relevant Information and Clinical Observation by Marina G. Kantemirova, Yulia Yu. Novikova, Dmitry Yu. Ovsyannikov, Seda Kh. Kurbanova, Anastasia A. Glazyrina, Olga A. Korovina, Antonina A. Rakhalina, Yulia V. Romanova, Alexey Yu. Rtishchev, Andrey V. Kharkin, Elena E. Petryaykina

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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…The study emphasizes the potential impact of these measures in advancing histopathological image analysis, fostering consensus in TILs scoring, and ultimately improving breast cancer diagnostics and treatment planning. The source code and implementation guide for this study are accessible on our GitHub page, and the full clinical dataset is available for academic and research purposes on Kaggle.…”
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Mechanisms of three typical endocrine-disrupting chemicals causing myocardial infarction: Gene-level computational modeling by Jing-Xuan Zhou, Shan-Shan Chen, Zi-Yi Zheng, Wang-Bo Yuan, Xiong-Bo Liu, Hong-Gang Ni

“…By combining gene expression data and weighted gene coexpression network analysis (WGCNA), key target genes related to MI were selected and four key hub genes (MAP3K8, PDE4B, BCL2A1 and FGR) were identified by LASSO, support vector machine (SVM) and Boruta algorithm. These genes were significantly upregulated in patients with MI and showed high diagnostic efficacy. …”
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Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…Results One of our unique discoveries is that, using our datasets, we verified that our proposed algorithm, DMTCNN, could appropriately categorize dissimilar brain disorders. …”
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Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control stu... by Yi-Wei Xu, Yu-Hui Peng, Can-Tong Liu, Hao Chen, Ling-Yu Chu, Hai-Lu Chen, Zhi-Yong Wu, Wen-Qiang Wei, Li-Yan Xu, Fang-Cai Wu, En-Min Li

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