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  1. 2441

    Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models by Deblina Mazumder Setu, Tania Islam, Md Maklachur Rahman, Samrat Kumar Dey, Tazizur Rahman

    Published 2025-06-01
    “…And four of them are more progressive, sophisticated methods including the convolutional neural network (CNN) model, diagnostic autism spectrum disorder (DASD) strategy, Ensemble Diagnosis Methodology (EKNN), and Self-Organizing Maps (SOM). …”
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    Detection of High-Risk Human Papillomavirus in Bladder Cancer: An Exploratory Study from a UK-Based Population by Mohammed Yahya Ahmed, Muharrem Okan Cakir, Sarbjinder Sandhu, G. Hossein Ashrafi

    Published 2025-06-01
    “…<b>Results</b>: HR-HPV DNA was detected in 33% of bladder cancer specimens, with HPV16, HPV35, and HPV52 being the most prevalent types. …”
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    Complementary Metal Oxide Semiconductor-Based Optical Detection System for Fluidic Cellular Medium pH Quantification by André A. Santos, Gabriel M. Ferreira, Paulo J. Sousa, Patrícia C. Sousa, Susana O. Catarino, Graça Minas

    Published 2024-11-01
    “…This work proposes a miniaturized optical detection system, based on optical transmittance, for pH level quantification of the EGM™-2 Endothelial Cell Growth Medium-2 BulletKit™ culture medium. …”
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    Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning by Pengbo Zhao, Cheng Lian, Bingrong Xu, Yixin Su, Zhigang Zeng

    Published 2024-01-01
    “…However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection challenging. We thus propose a multimodal physiological signal detection model based on self-supervised learning. …”
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  8. 2448

    Description of a New Simple and Cost-Effective Molecular Testing That Could Simplify MUC1 Variant Detection by Victor Fages, Florentin Bourre, Romain Larrue, Andrea Wenzel, Jean-Baptiste Gibier, Fabrice Bonte, Claire-Marie Dhaenens, Kendrah Kidd, Stanislav Kmoch, Anthony Bleyer, François Glowacki, Olivier Grunewald

    Published 2024-05-01
    “…Introduction: Patients with autosomal dominant tubulointerstitial kidney disease (ADTKD) usually present with nonspecific progressive chronic kidney disease (CKD) with mild to negative proteinuria and a family history. …”
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  9. 2449

    Detection of high-risk human papillomavirus genotypes 58 and 59 among oral squamous cell carcinoma patients by Snigdha Maity, Sreeraj Surendran, Prachi Malasane, Ujwal Shetty, Rithesh K. B., Priyanka Shetty, Prahlad Shetty, Monisha J. Shetty, Nikitha S., V. Vaishnavi, Chiranjay Mukhopadhyay, Vijaya Hegde, Anitha Jagadesh

    Published 2025-07-01
    “…The current research aimed to detect different high-risk HPV genotypes among OSCC and OPSCC patients attending a tertiary care hospital in Mangalore, India. …”
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    “Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study by Andre Briosa e Gala, Michael T. B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, Timothy R. Betts

    Published 2024-10-01
    “…Abstract Introduction The novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P‐wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confirm Rx™ ICM in detecting AF episodes of varying durations. …”
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  15. 2455

    Vision Transformer-Based Unhealthy Tree Crown Detection in Mixed Northeastern US Forests and Evaluation of Annotation Uncertainty by Durga Joshi, Chandi Witharana

    Published 2025-03-01
    “…To address this challenge, we explored the potential of freely available National Agricultural Imagery Program (NAIP) imagery. By comparing the performance of traditional convolutional neural network (CNN) models (U-Net and DeepLabv3+) with a state-of-the-art Vision Transformer (SegFormer), we aimed to determine the optimal approach for detecting unhealthy tree crowns (UTC) using a publicly available data source. …”
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    Detection of posttraumatic pneumothorax using electrical impedance tomography-An observer-blinded study in pigs with blunt chest trauma. by Felix Girrbach, Tobias Landeck, Dominic Schneider, Stefan U Reske, Gunther Hempel, Sören Hammermüller, Udo Gottschaldt, Peter Salz, Katharina Noreikat, Sebastian N Stehr, Hermann Wrigge, Andreas W Reske

    Published 2020-01-01
    “…For PTXcc3, observer 1 showed a sensitivity of 60% with a specificity of 51% while the sensitivity of observer 2 was 17%, with a specificity of 89%. By programming a semi-automatized detection algorithm, we significantly improved the detection rate of PTXcc3, with a sensitivity of 73% and a specificity of 70%. …”
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  19. 2459

    LiDAR Sensor Parameter Augmentation and Data-Driven Influence Analysis on Deep-Learning-Based People Detection by Lukas Haas, Florian Sanne, Johann Zedelmeier, Subir Das, Thomas Zeh, Matthias Kuba, Florian Bindges, Martin Jakobi, Alexander W. Koch

    Published 2025-05-01
    “…The results obtained, such as shadowing information, are transferred to a software program to determine the minimum number of sensors and their orientation based on the mounting height of the sensor, the sensor parameters, and the ground area under consideration, both for detection at the point cloud level and object detection level.…”
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  20. 2460

    Development of Enzyme-Mediated Duplex Exponential Amplification Assay for Detection and Identification of <i>Meloidogyne enterolobii</i> in Field by Bingxue Sun, Bo Gao, Rongyan Wang, Shulong Chen, Xiuhua Li, Yonghao Dong, Juan Ma

    Published 2025-06-01
    “…The established detection method employs a 42 °C isothermal amplification technology paired with a palm-sized thermal module, enabling field-deployable detection. …”
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