PRIMARY DENTAL PREVENTION OF CHILDREN'S POPULATION IN TECHNOGENIC REGION by E.N. Dychko, A.V. Schtompel, P.L. Sribnik

“…However, there are features of the etiology and pathogenesis of diseases in different living conditions of specific populations of people that need to learn. In this regard, studied dental status in 1500 students of three secondary schools, which were located in the region of intensive technogenic pollution. …”
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Comparison and Analysis on the Existing Single-Herbal Strategies against Viral Myocarditis by Yu Cao, Yang Liu, Tian Zhang, Jing Pan, Wei Lei, Boli Zhang

“…MCODE algorithm exposed the hub role of SRC and EGFR in strategies without Jianghuang. Subsequently, we learned intermolecular interactions of herbal components and their targeting heart-tissue-specific CHRM2, FABP3, TNNC1, TNNI3, TNNT2, and SCN5A and cardiac-myocytes-specific IL6, MMP1, and PLAT coupled with viral myocarditis. …”
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Malignant Otitis Externa and Atypical Skull Base Osteomyelitis by Aarthi Gopal, Sophia Amalanathan, Srivalli Chilakamarri, Kumaran Ramesh Colbert, Satish Kumar C

“…The appropriate management includes histopathological examination of the EAC granulation tissue, followed by culture-sensitive antibiotics administration. …”
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Renal Single-Cell RNA Sequencing and Digital Cytometry in Dogs with X-Linked Hereditary Nephropathy by Candice P. Chu, Daniel Osorio, Mary B. Nabity

“…Post-mortem renal cortical tissues from an affected male dog and a heterozygous female dog were processed to obtain single-cell suspensions. …”
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The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model by Shenping Liu, Zhi Wei, Huiqing Ding

“…Methods A multidimensional approach integrating advanced bioinformatics, comprehensive molecular profiling, and state-of-the-art machine learning algorithms was employed to assess SOX2 expression patterns and their correlation with ferroptosis marker expression patterns in cervical cancer tissues. …”
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Integration of Single-Cell and Bulk Transcriptome to Reveal an Endothelial Transition Signature Predicting Bladder Cancer Prognosis by Jinyu Yang, Wangxi Wu, Xiaoli Tang

“…Within the transition pathway, we discovered a critical EC subpopulation, termed tip-to-capillary ECs (TC-ECs), that was enriched in tumour tissues. Comparative analyses of TC-ECs with tip and capillary ECs revealed distinct differences in pathway activity, cellular communication, and transcription factor activity. …”
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Remimazolam Combined with Andrographolide Improve Postoperative Cognitive Dysfunction in Rats after Cardiopulmonary Bypass through the AMPK/SIRT1 Signaling Pathway by Chong Chen, Lixia Lan, Kai Xu

“…Introduction: The effects of remimazolam (Re) in combination with andrographolide (AP) on learning, memory, and motor abilities in rats following cardiopulmonary bypass (CPB) surgery were studied. …”
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RRFNet: A free-anchor brain tumor detection and classification network based on reparameterization technology. by Wei Liu, Xingxin Guo

“…Conventional object detection models for brain tumor detection face limitations in brain tumor detection owing to the significant differences between medical images and natural scene images, as well as challenges such as complex backgrounds, noise interference, and blurred boundaries between cancerous and normal tissues. This study investigates the application of deep learning to brain tumor detection, analyzing the effect of three factors, the number of model parameters, input data batch size, and the use of anchor boxes, on detection performance. …”
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Mechanism and relevance of necroptosis to immune microenvironment of periodontitis: A pilot study by ZHENG Zhanglong, LI Jia, JIANG Jirui, SHAN Zhengnan, LI Shengjiao

“…Compared with healthy tissues, the relative infiltration of plasma cells, B cells, neutrophils and NK cells in periodontal inflammatory tissues were increased. …”
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Radiomics as a new frontier in modern rheumatology: Chest pathology visualization advances and prospects by T. V. Beketova, E. L. Nasonov, M. A. Alekseev, E. I. Shchepikhin, Yu. N. Philippovich, A. S. Kruzhalov, A. Yu. Philippovich, V. A. Kulbak, D. A. Argunova, P. G. Shakhnovich, T. A. Prazdnichnykh, M. P. Obidin, T. N. Krasnova, N. N. Vladimirova

“…The article discusses the modern trends in the development of digital technologies in medicine, exemplified by rheumatology, especially, the significance of radiomics, which combines radiology, mathematical modeling, and deep machine learning. Texture analysis of computed tomography images and other imaging methods provides a more deeply characterization of the pathophysiological features of tissues and can be considered as a non-invasive “virtual biopsy”.It is shown that radiomics enhances the quality of diagnostic and predictive modeling. …”
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IKZF1 as a potential therapeutic target for dendritic cell-mediated immunotherapy in IgA nephropathy by Fei Peng, Chunjia Sheng, Jiayi He, Yena Zhou, Yilun Qu, Shuwei Duan, Yinghua Zhao, Jikai Xia, Jie Wu, Guangyan Cai, Lingling Wu, Chuyue Zhang, Xiangmei Chen

“…Receiver operating characteristic (ROC) curve analysis and machine learning algorithms were employed to screen for DC-related diagnostic biomarkers from the dataset. …”
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Update on the Use of Nanocarriers and Drug Delivery Systems and Future Directions in Cervical Cancer by Loredana Maria Himiniuc, Bogdan Florin Toma, Razvan Popovici, Ana Maria Grigore, Alexandru Hamod, Constantin Volovat, Simona Volovat, Irina Nica, Decebal Vasincu, Maricel Agop, Mihaela Tirnovanu, Lacramioara Ochiuz, Anca Negura, Mihaela Grigore

“…As any hologram functions as a deep learning process, the artificial intelligence can be proposed as a new analyzing method in cervical cancer.…”
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Transcriptional and post-transcriptional regulation of CARMN and its anti-tumor function in cervical cancer through autophagic flux blockade and MAPK cascade inhibition by Xing Zhang, Wenjing Yan, Hua Jin, Bingjia Yu, Hao Zhang, Bo Ding, Xue Chen, Yan Zhang, Qianqian Xia, Dan Meng, Jing Hu, Haohan Liu, Yamei Nie, Fengying Liu, Yun Zheng, Yiran Lu, Juan Wang, Mulong Du, Meilin Wang, Evan Yi-Wen Yu, Xiuting Li, Shizhi Wang

“…Machine learning diagnostic models were employed to investigate the role of lncRNAs in this transition. …”
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The application of virtual reality and augmented reality in dentistry – a literature review by Leelan Kanwal, Munnal Gulzar, Wafa Idrees, Fizzah Ikram, Rashna Hoshang Sukhia, Mubassar Fida

“…The current advances use the application of VR, haptic simulators, the use of an AI algorithm and many more that provides new opportunities for smart learning and enhance the teaching environment. As this technology continues to evolve, it is poised to become even more remarkable, enabling specialists to potentially visualize both soft and hard tissues within the patient's body for effective treatment planning. …”
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Cross-Scale Hypergraph Neural Networks with Inter–Intra Constraints for Mitosis Detection by Jincheng Li, Danyang Dong, Yihui Zhan, Guanren Zhu, Hengshuo Zhang, Xing Xie, Lingling Yang

“…Mitotic figures in tumor tissues are an important criterion for diagnosing malignant lesions, and physicians often search for the presence of mitosis in whole slide imaging (WSI). …”
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Unveiling the oncogenic role of SLC25A13: a multi-omics pan-cancer analysis reveals its impact on glioma progression by Wenjie Wu, Simin Liu, Huili Ren, Yuxin Rao, Jun Nie, Keke Wei, Xiaobing Jiang

“…Furthermore, in vitro and in vivo experiments demonstrated that SLC25A13 is significantly overexpressed in glioblastoma tissues compared to paraneoplastic tissues, promoting glioblastoma cell proliferation and migration while inhibiting apoptosis. …”
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Targeting INF2 with DiosMetin 7-O-β-D-Glucuronide: a new stratagem for colorectal cancer therapy by Zhirui Zeng, Yun Ke, Fei Huang, Hangyi Li, Xiaomin Zhang, Dahuan Li, Yingmin Wu, Tengxiang Chen, Yunhuan Zhen

“…Methods Single-cell RNA sequencing and machine learning were used to analyze INF2 localization in CRC tissues and its prognostic value. …”
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Dental Identification Based on Single Tooth Feature Concatenation by Li Yuan, Luoji Zhu, Kang-Hyun Jo, Yanfeng Li

“…Forensic dentistry research indicates that teeth, as one of the hardest tissues in the human body, can be well-preserved even in disasters and crime scenes, providing a reliable means of human identification. …”
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Microplastics as Emerging Contaminants and Human Health: Exploring Functional Nutrition in Gastric–Colon–Brain Axis Cancer by Maria Scuto, Cinzia Maria Grazia Lombardo, Bruna Lo Sasso, Eleonora Di Fatta, Raffaele Ferri, Angela Trovato Salinaro

“…Exposure to MPs has been associated with oxidative stress, systemic inflammation, and cellular dysfunction, notably affecting critical tissues such as the stomach, colon, and brain. This review explores the correlation between MPs and cancer risk along the gastric–colon–brain axis, identifying the signaling pathways altered by MP exposure. …”
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Impact of Aluminium Chloride (AlCl₃) on Brain Function: A Review of Neurotoxic Mechanisms and Implications for Alzheimer's Disease by Amtul Rahman, Zeenath Banu

“…Findings from the reviewed studies reveal that AlCl3 exposure leads to increased aluminium accumulation in brain tissues, resulting in structural damage and neurotoxic effects. …”
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