Detecting cell-type-specific allelic expression imbalance by integrative analysis of bulk and single-cell RNA sequencing data. by Jiaxin Fan, Xuran Wang, Rui Xiao, Mingyao Li

“…We further applied BSCET to two pancreatic islet bulk RNA-seq datasets, and detected genes showing cell-type-specific AEI that are related to the progression of type 2 diabetes. …”
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Deep Learning and Hydrological Feature Constraint Strategies for Dam Detection: Global Application to Sentinel-2 Remote Sensing Imagery by Hongyuan Gu, Yongnian Gao, Yasen Fei, Yongqi Sun, Yanjun Tian

“…This method leverages the efficient YOLOv5s model for preliminary deep learning-based dam detection. Next, based on the hydrological features of dams, constraints such as adjacent water body, single reservoir-based dam number, watershed river network, and detection box-based river network elevation difference are progressively introduced to eliminate false detections. …”
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Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model by S. M. Mahim, Md. Shahin Ali, Md. Olid Hasan, Abdullah Al Nomaan Nafi, Arefin Sadat, Shakib Al Hasan, Bryar Shareef, Md. Manjurul Ahsan, Md. Khairul Islam, Md. Sipon Miah, Ming-Bo Niu

“…Alzheimer’s Disease (AD) is a significant cause of dementia worldwide, and its progression from mild to severe affects an individual’s ability to perform daily activities independently. …”
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Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples by Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler

“…The implementation of centrally organized mammography screening for women between 50 and 69 years of age was a major step in the direction of early detection. However, the participation rate reaches approximately 50% of the eligible women, one reason being the painful compression of the breast, cited as a major issue for not participating in this very important program. …”
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Non-native marine and estuarine fouling bryozoans detected along North American Coasts: a twenty-year synthesis by Linda D. McCann, Natasha Gray Hitchcock, Judith E. Winston, Andrew L. Chang, James T. Carlton, Gregory M. Ruiz

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NeuMoDx random access molecular diagnostic system for detection and quantification of hepatitis B virus in clinical samples by Ayse Arikan, Murat Sayan, Osman Doluca

“… Introduction: Currently, several molecular assays are available to detect and quantify HBV DNA in clinical samples. We aimed to characterize and compare the clinical performance of newly designed NeuMoDx PCR to the existing artus PCR. …”
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks by Kashi Sai Prasad, E. Laxmi Lydia, M. V. Rajesh, K. Radhika, Janjhyam Venkata Naga Ramesh, N. Neelima, Srinivasa Rao Pokuri

“…The IoT network’s security can progressively become a critical concern as IoT technology obtains extensive use. …”
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Let‐7e as Potential Diagnostic Biomarkers in Early Detection of Peri‐Implant Diseases: A Cross‐Sectional Study by Nurul Latifah Zainal Abidin, Norjehan Latib, Fouad Hussain Al‐Bayaty, Mohd Faizal Hafez Hidayat

“…Conclusions Our study indicates that miRNA biomarkers, particularly let‐7e, may play a significant role in the development and progression of PID, highlighting the need for further in‐depth investigation, with PICF offering a practical, noninvasive sampling method.…”
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Seasonally Robust Offshore Wind Turbine Detection in Sentinel-2 Imagery Using Imaging Geometry-Aware Deep Learning by Xike Song, Ziyang Li

“…The ablation experiments showed a progressive improvement in detection performance in the following order: Faster R-CNN < Geowise-Net < Contrast-Net < Composite. …”
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A novel, non-invasive AI-based telemonitoring system for heart failure: detection of undiagnosed hyperthyroidism in an asymptomatic patient by Allan Böhm, Julia Lucka, Amitai Segev, Marta Kollarova, Stefan Toth, Nikola Jajcay, Branislav Bezak

“…Assessment of cardiac filling pressures may aid in the early detection and prevention of clinical decompensation. …”
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection by Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka

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Tomato Ripening Detection in Complex Environments Based on Improved BiAttFPN Fusion and YOLOv11-SLBA Modeling by Yan Hao, Lei Rao, Xueliang Fu, Hao Zhou, Honghui Li

“…Several pressing issues have been revealed by deep learning-based tomato ripening detection technology in intricate environmental applications: The ripening transition stage distinction is not accurate enough, small target tomato detection is likely to miss, and the detection technology is more susceptible to variations in light. …”
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Automatic detection of trapping events of postnatal piglets in loose housing pen: comparison of YOLO versions 4, 5, and 8 by Taeyong Yun, Jinsul Kim, Jinhyeon Yun, Tai-Won Um

“…In response to these challenges, researchers have progressively turned to artificial intelligence of things (AIoT) to address various issues within the livestock sector. …”
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Exploring the feasibility of EEG for pre-hospital detection of medium and large vessel occlusion strokes: a proof-of-concept study by William Peterson, Nithya Ramakrishnan, David Tinklepaugh, Adrian Hamburger, Arthur Kowell, Krag Browder, Nerses Sanossian, Nerses Sanossian, Peggy Nguyen, Ezekiel Fink

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Molecular and Microbial Detections of Streptococcus mutans and Lactobacilli in Dental Caries: An Experimental Study on Iranian Children Aged 5–9 by Marzieh Danaei, Milad Mollaali, Vida Fakharmohialdini, Hamidreza Poureslami, Fatemeh Sadat Sajadi, Elham Farokh Gisour, Fatemeh Jahanimoghadam, Aida Gholampour, Mehrnaz Foroudisefat, Arezoo Mirshekari, Raziyeh Shojaeipour

“…PCR was also performed for molecular detection of lactobacilli (16S rRNA gene) and S. mutans (gftB gene). …”
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Study on the detection rate, genetic polymorphism, viral load, persistent infection capacity, and pathogenicity of human papillomavirus type 33 by Qiongyao Li, Qichen Cheng, Di Tian, Zhengyuan An, Lei Li, Feng Yang, Mingjing Zhang, Ganglin Liu, A. Peixin, Yan Yang, Zuyi Chen

“…Results Among 239,743 samples, HPV detection number was 56,681, the HPV33 detection rate was 3.72% (2,110/56,681) among all detected HPV genotypes. …”
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Clinical activity of pembrolizumab in metastatic prostate cancer with microsatellite instability high (MSI-H) detected by circulating tumor DNA by Neeraj Agarwal, Oliver Sartor, Brian Lewis, Hani Babiker, Elisa Ledet, Lesli Kiedrowski, Pedro Barata, Roberto Nussenzveig, Benjamin Gerendash, Ellen Jaeger, Whitley Hatton, Jodi Layton, Alan Bryce, Cy Stein, Philip Saylor

“…At time of cut-off, four patients were still on pembrolizumab while four patients discontinued therapy due to progressive disease and one due to COVID-19 infection. …”
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Frequency of detection and factors of elevated levels of diabetes-associated autoantibodies in the blood of patients with clinical type 2 diabetes mellitus by Y.A. Saienko, B.M. Mankovsky

“…Additionally, patients with autoimmune diabetes rated their health significantly better than those with classic T2DM, which may be related to the slower progression of the disease and fewer cardiometabolic disturbances. …”
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Diagnostic accuracy of the international classification of disease “I26” code to detect acute pulmonary embolism in a surveillance network by Jeffrey A. Kline, Jesse O. Wrenn, Mazin F. Alam, Alexis N. Drinkhorn, Conner D. Slotnick, Fawas Shaman, Christopher E. Conn, Steven J. Korzeniewski, Christopher Kabrhel

“…Objectives: Test the diagnostic accuracy of the I26 ''leader'' ICD-10 code for the detection of PE in near real-time in a large, ED-based surveillance network. …”
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High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems by Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, Vasileios Kokkinos

“…The criticality of seizure occurrence and associated risks, combined with the overwhelming need for more precise and innovative treatment methods, has led to the development of invasive neurostimulation devices programmed to detect and apply electrical stimulation therapy to suppress seizures and reduce the seizure burden. …”
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