Overheating Defect Detection of Composite Insulator Based on Mask R-CNN by Yi GAO, Lianfang TIAN, Qiliang DU

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High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry by Lou Gao, Hongchao Zhang, Jian Lu, Zhonghua Shen

“…In high-density LIP diagnostics, the Faraday rotation effect causes probe light polarization deflection, rendering traditional fixed-phase-demodulation methods ineffective, the Carré phase-recovery algorithm is adopted and its applicability is verified. …”
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Residual-conditioned sparse transformer for photoacoustic image artifact reduction by Xiaoxue Wang, Jinzhuang Xu, Chenglong Zhang, Moritz Wildgruber, Wenjing Jiang, Lili Wang, Xiaopeng Ma

“…Experiments on multiple simulated and experimental datasets demonstrate that our method significantly suppresses artifacts and improves image quality, offering new possibilities for the application of photoacoustic imaging in biomedical research and clinical diagnostics.…”
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Medical laboratory data-based models: opportunities, obstacles, and solutions by Jiaojiao Meng, Moxin Wu, Fangmin Shi, Ying Xie, Hui Wang, You Guo

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Renal failure in patients with hematological malignancies (literature review) by E. G. Gromova

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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

“…The effectiveness of every algorithm is assessed through a 10-fold cross-validation. …”
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Integrating Positron Emission Tomography Combined with Computed Tomography Imaging into Advanced Radiation Therapy Planning: Clinical Applications, Innovations, and Challenges by Subhash Chand Kheruka, Anjali Jain, M. Sharjeel Usmani, Naema Al-Maymani, Noura Al-Makhmari, Huda Al-Saidi, Sana Al-Rashdi, Anas Al-Balushi, Vipin Jayakrishnan, Khulood Al-Riyami, Rashid Al-Sukaiti, Raza Sayani

“…This review critically evaluates the clinical applications of PET/CT-guided radiation therapy, highlighting its evolving impact, technical innovations, limitations, and future research directions. Key clinical uses – such as improved target delineation, adaptive therapy, and treatment response monitoring – are explored alongside the diagnostic performance of diverse radiotracers including 18F-fluorodeoxyglucose, prostate-specific membrane antigen-targeted agents, and hypoxia-specific probes. …”
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Clinical Pathways Guided by Remotely Monitoring Cardiac Device Data: The Future of Device Heart Failure Management? by Joanne K Taylor, Fozia Zahir Ahmed

“…COVID-19 has reignited interest in remote monitoring, with manufacturers each developing and testing new ways to detect acute HF episodes, risk stratify patients and support self-care. As standalone diagnostic tools, individual physiological metrics and algorithm-based systems have demonstrated utility in predicting future events, but the integration of remote monitoring data with existing clinical care pathways for device HF patients is not well described. …”
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The Author's Reply by Mohamad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davari Dolatabadi

“…By integrating advanced imaging modalities and machine learning algorithms, researchers can indeed enhance diagnostic accuracy and efficiency, thereby improving patient outcomes.Additionally, we agree with the commenter’s recommendation regarding the necessity for healthcare professionals to receive adequate training in AI technology. …”
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Analysis of prognostic factors in diffuse large B-cell lymphoma associated with rheumatic diseases by Vadim Gorodetskiy, Natalya Probatova, Tatiana Obukhova, Vladimir Vasilyev

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Thrombotic Lesion of the Pulmonary Vessels in Patients with Pulmonary Embolism by A. A. Klimenko, N. A. Demidova, N. A. Shostak, M. O. Anischenko

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Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response by Jingjing Shao, Tianye Zhao, Jibin Liu, Peipei Kang, Peipei Kang

“…Additionally, the research explores the relationship between MRPL17 expression and immune cell infiltration. …”
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Experimentally profiling dielectric properties of Escherichia coli and Staphylococcus aureus by movement velocity and force by Akmal Suhaimi, Arash Zulkarnain, Noraziah Mohamad Zin, Abdullah Abdulhameed, Aminuddin Ahmad Kayani, Ramdzan Buyong

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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

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Evaluation of adolescents with heavy menstrual bleeding using the International Society of Thrombosis Haemostasis- Bleeding Assessment Tool and The Pediatric Bleeding Questionnaire... by Nergiz Öner, Gürses Şahin, Şule Yeşil, Burçak Kurucu, Emre Çapkınoğlu, Azize Ceren Kılcı, Şeyma Ünüvar Gök, Ali Fettah

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Whole genome sequencing improves tissue-of-origin diagnosis and treatment options for cancer of unknown primary by Richard J. Rebello, Atara Posner, Ruining Dong, Owen W. J. Prall, Tharani Sivakumaran, Camilla B. Mitchell, Aidan Flynn, Alex Caneborg, Catherine Mitchell, Sehrish Kanwal, Clare Fedele, Samantha Webb, Krista Fisher, Hui-Li Wong, Shiva Balachander, Wenying Zhu, Shannon Nicolson, Voula Dimitriadis, Nicholas Wilcken, Anna DeFazio, Bo Gao, Madhu Singh, Ian M. Collins, Christopher Steer, Mark Warren, Narayan Karanth, Huiling Xu, Andrew Fellowes, Rodney J. Hicks, Kym Pham Stewart, Charles Shale, Peter Priestley, Sarah-Jane Dawson, Joseph H. A. Vissers, Stephen B. Fox, Penelope Schofield, David Bowtell, Oliver Hofmann, Sean M. Grimmond, Linda Mileshkin, Richard W. Tothill

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Cancer staging diagnosis based on transcriptomics and variational autoencoder by LI Jiarui, QIAN Li, SHEN Junjie

“…The constructed IFRSVAE-RF model demonstrates relatively good performance in the task of cancer staging diagnosis, which providing a new and referable idea for research orientation of deep-learning-based diagnostic methods for cancer staging. …”
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Preoperative Planning Using 3D Printing as a Way to Improve the Outcomes of Surgical Treatment for Pilon Fractures by A. B. Koshkin, M. V. Parshikov, S. V. Novikov, A. A. Prokhorov, A. M. Fai

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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

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System for assessment and prediction of the technical condition of power oil-filled transformer equipment of distribution networks using machine learning by A. R. Galyautdinova, I. V. Ivshin, S. A. Solovev

“…RELEVANCE the research is to develop a new system for assessing the technical condition of power oil-filled transformer equipment of distribution networks.OBJECT. …”
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