Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…This study establishes a substantial scientific foundation that contributes to both clinical applications and fundamental research in periodontitis. The findings not only offer valuable insights for developing early diagnostic strategies and therapeutic interventions but also provide a robust theoretical framework to guide future investigations into the molecular mechanisms underlying this complex disease.…”
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Depressive symptoms among patients with schizophrenia in acute and remission phases by Peljto Amir, Pešić Danilo, Christodoulou Nikos G., Lečić-Toševski Dušica

“…The rate of depressive symptoms among people with schizophrenia varies widely because of the phase of the disease, type of study applied, rating scale for depressive symptoms and diagnostic criteria. The aim of this research was to determine the prevalence of depressive symptoms and the clinical correlation of depressive symptoms with other clinical parameters (type and severity of psychotic symptoms, severity of illness, insight and global functioning) among patients with schizophrenia in acute and remission phases. …”
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THE STUDY OF THE BRAIN IN A PATIENT WITH TYPE 1 DIABETES MELLITUS USING TECHNIQUES OF MAGNETIC RESONANCE IMAGING by Yu. G. Samoylova, N. G. Zhukova, M. V. Matveyeva, M. A. Rotkank, O. S. Tonkikh

“…The study of the brain, namely structural and metabolic manifestations of diabetes, is one of the priority problem of modern medical science.The aim of the study was to evaluate dynamics in the different techniques of magnetic resonance imaging in the diagnosis of brain changes in patients with T1DM.Research methods included physical examination, in accordance with the diagnostic algorithm of patients with T1DM, a neurologist consultation, an assessment of cognitive function, analysis of brain changes using standard magnetic resonance imaging and spectroscopy. …”
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Diagnosis and management of metabolic dysfunction- associated steatotic liver disease in South Asians- A clinical review by Prajith Raj Ramesh, Priya Krishnan, Samyuktha Prabu, Varshini Srinivasan, Varalakshmi Niranjan

“…Conclusion: The goal of this review is to guide obesity physicians and primary care providers to have a stepwise approach to treat patients at risk for MASLD with a main focus on interdisciplinary management most applicable to South Asian patients. More research is needed to formulate guidelines and algorithm that are specific for the South Asian population.…”
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Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning by LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng

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Impact of rhinosinusal polyposis on CT score in patients with chronic rhinosinustis by Dudvarski Zoran, Janošević Ljiljana, Penđer Ivica, Đukić Vojko, Ješić Snežana, Dimitrijević Milovan, Arsović Nenad

“…The study included 90 patients, 47 males and 43 females, 45-year old on average, diagnosed with chronic rhinosinusitis on the basis of diagnostic algorithm. The group with uncomplicated chronic rhinosinusitis (without nasal polyps) consisted of 30 patients and the group with complicated chronic rhinosinusitis (with nasal polyps) of 60 patients. …”
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A Fault Diagnosis Model of an Electric Submersible Pump Based on Mechanism Knowledge by Faming Gong, Siyuan Tong, Chengze Du, Zhenghao Wan, Shiyu Qiu

“…A series of experiments demonstrate that the proposed algorithm strategy can effectively improve the diagnostic accuracy of the model. …”
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Cancer Diagnosis Optimization With a Combination of Flexible THz Antennas and Machine Learning by M. Senthil Pandian, S. Deepa Nivethika, J. Idhikash, Vamsee N. Yashwanth, Aishwarya Shaji, Prabhakaran Paulraj

“…In contrast, microscopic techniques such as histopathology require invasive biopsy samples and lack real‐time diagnostic capabilities. Bridging this gap, THz research offers a promising solution, utilizing nonionizing terahertz radiation to achieve superior resolution. …”
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Early Bearing Fault Diagnosis in PMSMs Based on HO-VMD and Weighted Evidence Fusion of Current–Vibration Signals by Xianwu He, Xuhui Liu, Cheng Lin, Minjie Fu, Jiajin Wang, Jian Zhang

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Edge computing-based ensemble learning model for health care decision systems by Asir Chandra Shinoo Robert Vincent, Sudhakar Sengan

“…Abstract A growing number of humans have suffered severe chronic illnesses, which has caused a boost in the requirement for diagnostic and medical treatment procedures that are both accurate and fast. …”
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Advancing Agricultural Machinery Maintenance: Deep Learning-Enabled Motor Fault Diagnosis by Xusong Bai, Qian Chen, Xiangjin Song, Weihang Hong

“…However, challenges remain in implementing these systems, including data acquisition limitations, computational resource requirements, and algorithm adaptability to diverse operational conditions. …”
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Bioinformatics analysis and identification of underlying biomarkers potentially linking allergic rhinitis and autophagy by Tao Zhou, Hua Cai, Lisha Wu, Jianjun Chen, Liuqing Zhou, Jun Liu

“…A PPI network of differentially expressed autophagy-related genes were established and further identified through the CytoHubba algorithm. A receiver operating characteristic curve analysis was employed to evaluate the diagnostic effectiveness of the hub genes and to examine the relationship between autophagy-related genes and AR. …”
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An Efficient Edge-Based System for Nucleated Oval-Shaped Red Blood Cell Counting by Carlo Centofanti, Daniele Lozzi, Ciro Cococcetta, Andrea Marotta

“…Beyond its immediate implications for avian healthcare, this research underscores the broader potential of technology in improving diagnostics for diverse animal species.…”
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Modern approaches to the treatment of psychogenic vertigo (persistent postural-perceptual dizziness), review by N. L. Kunelskaya, E. V. Baybakova, M. A. Chugunova, Z. O. Zaоeva

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THE PROBLEMS OF PROVIDING INFECTIOUS DISEASE SAFETY FOR ORGAN AND TISSUE DONATION BY SCREENING BLOOD-BORNE VIRAL INFECTIONS by M. Sh. Khubutiya, S. A. Solonin, M. A. Godkov

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Artificial Intelligence in Healthcare: Innovation and Impact in Medical Practice by Amelia-Maria ISAC, Corina VERNIC

“…Methods: A systematic review and meta-analysis were conducted to assess AI applications in healthcare, focusing on predictive modeling, diagnostic accuracy, and treatment optimization. Studies were selected following PRISMA guidelines, ensuring the inclusion of peer-reviewed research with statistical validation. …”
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Dependence of serum procalcitonin level on microflora in the infection site in chronic osteomyelitis by Irina V. Shipitsyna, Elena V. Osipova, Alexander L. Shastov

Mutational landscape and DNA methylation-based classification of squamous cell carcinoma and urothelial carcinoma by Min Ren, Midie Xu, Chen Chen, Ran Wei, Qianlan Yao, Liqing Jia, Peng Qi, Qifeng Wang, Qianming Bai, Xiaoli Zhu, Sheng Wu, Qinghua Xu, Xiaoyan Zhou

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Possibility of evaluation of oxygen transport function in PAH patients on effective selexipag-based therapy by E. S. Allakhverdiev, E. A. Rezukhina, O. V. Slatinskaya, O. V. Rodnenkov, G. V. Maksimov, T. V. Martynyuk

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Discrepancy in Metabolic Dysfunction–Associated Steatotic Liver Disease Prevalence in a Large Northern California Cohort by Luis A. Rodriguez, Lue-Yen S. Tucker, Varun Saxena, Theodore R. Levin

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