Time course of radiographic hip joint changes in patients with early axial spondyloarthritis by E. M. Agafonova, D. G. Rumyantseva, A. V. Smirnov, Sh. Erdes

“…We have previously developed a formula for calculating the rate of coxitis progression, which simplifies the assessment of radiographic HJ changes and allows a physician to make a timely decision about changing therapy if rapidly progressing coxitis is detected.Objective: to estimate the rate of radiological progression of coxitis during a 24-month follow-up of patients with early axSpA.Patients and methods. …”
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The Evolution of Computer-assisted Detection of Pulmonary Embolism from Volume to Voxel by Condrea Florin, Rapaka Saikiran, Itu Lucian, Leordeanu Marius

“…The evolution of computer-assisted detection (CAD) for PE has transformed dramatically over the past decades, progressing from simple pattern recognition to sophisticated deep learning approaches. …”
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Nanobiosensors in neurodegenerative disease diagnosis: A promising pathway for early detection by Shikha Yadav, Sarad Pawar Naik Bukke, Shatrudhan Prajapati, Ajay Pal Singh, Ananda Kumar Chettupalli, Buyinza Nicholas

“…Neurodegenerative diseases, including Alzheimer's and Parkinson's, are characterized by progressive neuronal loss, leading to cognitive and motor impairments. …”
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Circulating Tumor Cell Detection for Therapeutic and Prognostic Roles in Breast Cancer by Saiying Ma, Xiaojia Wang, Peter Ping Lin, Lei Lei

“…ABSTRACT Background Circulating tumor cells (CTCs) are pivotal liquid biopsy (LB) biomarkers for breast cancer (BC), offering non‐invasive insights into tumor progression and metastasis. Despite their clinical promise, CTC detection remains technically challenging due to their extreme rarity in peripheral blood. …”
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Analysis of the detection status and influencing factors of breast nodules in women in Zhangjiakou by YANG Xinhua, DOU Yandong, JI Lina

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Novel Detection and Clinical Utility of Serum-Derived Extracellular Vesicle in Angiosarcoma by Kazunori Yokoi, Jing Wang, Yusuke Yoshioka, Yasuhiro Fujisawa, Manabu Fujimoto, Takahiro Ochiya, Atsushi Tanemura

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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…This article presents a novel review of Machine Learning (ML) and Deep Learning (DL) techniques for PD detection and progression monitoring, offering new perspectives by integrating diverse data sources. …”
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Using 'sentinel' plants to improve early detection of invasive plant pathogens. by Francesca A Lovell-Read, Stephen Parnell, Nik J Cunniffe, Robin N Thompson

“…However, while sentinel hosts exhibit faster disease progression and so allow pathogens to be detected earlier, this often comes at a cost: faster disease progression typically promotes earlier onward transmission. …”
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Deciphering IGH rearrangement complexity and detection strategies in acute lymphoblastic leukaemia by Ashlee Thomson, Jacqueline Rehn, David Yeung, James Breen, Deborah White

“…Abstract Acute lymphoblastic leukaemia is a highly heterogeneous malignancy characterised by various genomic alterations that influence disease progression and therapeutic outcomes. Gene fusions involving the immunoglobulin heavy chain gene represent a complex and diverse category. …”
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Deep ensemble learning with transformer models for enhanced Alzheimer’s disease detection by Shiza Latif, Naeem Ul Islam, Zaki Uddin, Khalid Mehmood Cheema, Syed Sohail Ahmed, Muhammad Farhan Khan

“…Currently, there is no remedy for this illness. Accurate detection and prompt intervention are pivotal in mitigating the progression of the disease. …”
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A Review of Non-Linear Optical Imaging Techniques for Cancer Detection by Francisco J. Ávila

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Biosensors for Early Detection of Parkinson’s Disease: Principles, Applications, and Future Prospects by Panpan Jiang, Nan Gao, Gang Chang, Yuxiang Wu

“…Parkinson’s disease (PD), a neurodegenerative disorder marked by the progressive loss of dopaminergic neurons in the substantia nigra, imposes substantial economic burdens, including both direct and indirect costs. …”
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Anterior cruciate ligament microfatigue damage detected by collagen autofluorescence in situ by Jinhee Kim, So Young Baek, Stephen H. Schlecht, Mélanie L. Beaulieu, Lindsay Bussau, Junjie Chen, James A. Ashton‐Miller, Edward M. Wojtys, Mark M. Banaszak Holl

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Anomaly traffic detection method based on data augmentation and feature mining by AN Yishuai, FU Yu, YU Yihan, LIU Taotao

“…To address the limitations of existing anomaly traffic detection methods, such as insufficient recognition accuracy for minority classes and limited deep feature extraction capabilities, a novel anomaly traffic detection method based on data augmentation and feature mining was proposed. …”
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A Driver’s Calling Behavior Detection Method Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei, LIU Shiwang, LUO Xiao, DING Chi

“…Firstly, face detection and face tracking is supported by PCN (progressive calibration networks) to determine the calling detection area. …”
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Detecting bubbles in world aluminum prices: Evidence from GSADF test by Menglin Ni, Xiaoying Wang

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Role of parathyroid hormone-related protein in breast cancer detection and prognosis by A. S. Shatokhina, I. M. Bykov, E. F. Filippov, V. A. Porhanov, A. N. Kurzanov

“…Use of parathyroid hormone-related protein for breast cancer early detection and disease prognosis is currently becoming a subject of detailed scientific research studies, which is confirmed by the facts presented in this literature review.…”
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Untargeted Salivary Metabolomics and Proteomics: Paving the Way for Early Detection of Periodontitis by Mariacristina Amato, Alessandro Polizzi, Andrea Blasi, Cristina Grippaudo, Gaetano Isola

“…Periodontitis is a chronic inflammatory disease that affects the supporting structures of the teeth and is a major cause of tooth loss worldwide. Early detection is critical to prevent disease progression and avoid irreversible tissue damage. …”
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Early Detection of Apoptosis Using a Fluorescent Conjugate of Annexin V by Guohong Zhang, Vanessa Gurtu, Steven R. Kain, Guochen Yan

“…Methods developed over the past few years have focused on detection of DNA-associated changes that occur rather late in apoptosis. …”
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Deep learning-based crack detection and prediction for structural health monitoring by Satyabrata Roy, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Sourav Kumar Das

“…Abstract This study describes a system for real-time crack detection and estimation in constructions, using a proposed model based on CNN, VGG16, U-Net, and Swin Transformer architectures. …”
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