Enhancing the Predictions of Cytomegalovirus Infection in Severe Ulcerative Colitis Using a Deep Learning Ensemble Model: Development and Validation Study by Jeong Heon Kim, A Reum Choe, Ju Ran Byeon, Yehyun Park, Eun Mi Song, Seong-Eun Kim, Eui Sun Jeong, Rena Lee, Jin Sung Kim, So Hyun Ahn, Sung Ae Jung

“…ObjectiveThis study explores the use of deep learning to differentiate CMV from severe UC through endoscopic imaging, offering a potential noninvasive diagnostic tool. MethodsWe analyzed 86 endoscopic images using an ensemble of deep learning models, including DenseNet (Densely Connected Convolutional Network) 121 pretrained on ImageNet. …”
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In situ and dynamic screening of extracellular vesicles as predictive biomarkers in immune-checkpoint inhibitor therapies by Yihe Wang, Yue Sun, Mengqi Liu, Chao Wang, Miao Huang, Jiaoyan Qiu, Ningkai Yang, Yu Zhang, Hong Liu, Lin Han

“…Our platform overcomes the limitations of traditional methods by offering a physiologically relevant system to study EV-mediated immune responses. …”
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Effects of synergistic fermentation of tea bee pollen with bacteria and enzymes on growth and intestinal health of Apis cerana cerana by Panpan Xue, Le Xu, Yakai Tian, Mingkui Lv, Pingping Fang, Kun Dong, Qiuye Lin, Zhenhui Cao

“…A. c. cerana workers were subsequently fed tea bee pollen processed with this optimized method. Under the optimal processing condition of fermented tea bee pollen, the pH value was 4.41, the protein content was 27.75 %, and the viable count of LAB was 2.31×10⁹ CFU/g. …”
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MODELING LONGITUDINAL MEASUREMENTS OF CLINICAL AND EPIDEMIOLOGICAL PARAMETERS USING JOINPOINT REGRESSION by Mihaela Moscalu, Ionela-Lăcrămioara Șerban, Norin Forna, Mihaela Pundiche, Loredana Mitran, Madalina-Elena Datcu, Nicolae Șerban Dragomir, Alin Constantin Pînzariu

“…In this context, analytical methods capable of detecting and interpreting temporal changes in clinical parameters have become essential. …”
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Glial Fibrillary Acidic Protein’s Usefulness as an Astrocyte Biomarker Using the Fully Automated LUMIPULSE^® System by Jo Kamada, Tomohiro Hamanaka, Aya Oshimo, Hideo Sato, Tomonori Nishii, Marika Fujita, Yoshiharu Makiguchi, Miki Tanaka, Katsumi Aoyagi, Hisashi Nojima

“…The assay’s parameters, including antibody concentrations, incubation times, and detection methods, were optimized to enhance sensitivity and specificity. …”
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Artificial intelligence in electroencephalography analysis for epilepsy diagnosis and management by Chenxi Wang, Chenxi Wang, Xinyue Yuan, Wei Jing

“…Traditional EEG interpretation relies on manual analysis, which suffers from high misdiagnosis rates and inefficiency.MethodsThis review systematically evaluates the integration of artificial intelligence (AI), particularly deep learning (DL) and machine learning (ML), into EEG analysis for epilepsy management. …”
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Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring by Sehyun Park, Seongyeop Kim, Soojin Lee, Vladimir V. Tsukruk, SeungHyun Park, Hyo‐Ryoung Lim

“…These systems offer significant potential for personalized healthcare and disease management by enabling real‐time detection of key biomarkers. However, challenges remain in optimizing microfluidic channel design, ensuring consistent biofluid collection, balancing high‐resolution fabrication with scalability, integrating flexible biocompatible materials, and establishing standardized validation protocols. …”
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Methodology to classify high voltage transmission poles using CNN approach from satellite images for safety public regulation application: Study case of rural area in Thailand by Bastien Marty, Raphael Gaudin, Tom Piperno, Didier Rouquette, Cyrille Schwob, Laurent Mezeix

“…Therefore, the use of automatic detection methods enables to facilitate the inspection is necessary to reduce time and cost. …”
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Design of an Efficient Deep Learning-Based Diagnostic Model for Wind Turbine Gearboxes Using SCADA Data by Xuan-Kien Mai, Jun-Yeop Lee, Jae-In Lee, Byeong-Soo Go, Seok-Ju Lee, Minh-Chau Dinh

“…The model analyzes historical operating data from wind turbine to classify gearbox conditions into normal and abnormal states. Optimizing the dataset for deep neural networks through advanced data processing methods achieves an impressive fault detection accuracy of 98.8%. …”
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A model for Managing the Competitive Activitiesof Top-Level Teams Based on Computer Vision Online by Sergei L. Goldstein, Andrey A. Polozov, Natalia V. Papulovskaya, Natalya A. Maltseva, Maxim V. Kraev

“…The use of modern computer vision and machine learning methods has made it possible to create interactive data visualization.…”
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Multifaceted roles of melatonin: Investigating coffee leaf melatonin concentration as a potential indicator of vegetative growth by Siswanto Dian, Nanda Aldian Dwi, Muwahida Imroatin, Istiqomah Nurul, Munawarti Aminatun, Mastuti Retno

“…This finding paves the way for future research to refine and optimize the analytical methods for detection of melatonin, sparking further interest and exploration in this area.…”
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Categorical-Parallel Adversarial Defense for Perception Models on Single-Board Embedded Unmanned Vehicles by Yilan Li, Xing Fan, Shiqi Sun, Yantao Lu, Ning Liu

“…However, implementing these methods for perception tasks in unmanned vehicles, such as object detection and semantic segmentation, particularly on real-time single-board computing devices, encounters two primary challenges: the time-intensive nature of training large-scale models and performance degradation due to weight quantization in real-time deployments. …”
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A Review of Environmental Sensing Technologies for Targeted Spraying in Orchards by Yunfei Wang, Zhengji Zhang, Weidong Jia, Mingxiong Ou, Xiang Dong, Shiqun Dai

“…Additionally, this paper reviews the practical paths of environmental sensing-driven targeted spraying technologies, including variable spraying strategies based on canopy structure perception, precise pesticide application methods combined with intelligent pest and disease recognition, and targeted weed control technologies relying on weed and non-target area detection. …”
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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining by Onur Dogan, Hunaıda Avvad

“…This simplification enables organizations to detect bottlenecks and optimize workflows by uncovering trends and variations that might otherwise remain hidden. …”
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Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis by Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li

“…However, under complex external conditions and varying structural parameters, existing methods struggle to accurately and quickly detect damage. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…There are numerous applications of AI in radiology - image segmentation, objective quantification, detecting and highlighting suspicious areas, image processing and optimization, longitudinal analysis, potentially diagnosis recognition, triage, and reporting aid. …”
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Predictive value of osteopenia as prognostic marker for survival and recurrence in patients with gastrointestinal cancers: a systematic review and meta-analysis by Xinmei Zou, Yang Wang

“…BackgroundEarly detection, systematic prevention, and personalized therapy are crucial to reduce mortality in patients with gastrointestinal (GI) cancers. …”
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Using SVM Classifier and Micro-Doppler Signature for Automatic Recognition of Sonar Targets by Abbas Saffari, Seyed Hamid Zahiri, Navid Khozein Ghanad

“…For a more fair comparison, multilayer perceptron neural network with two back-propagation (MLP-BP) training methods and gray wolf optimization (MLP-GWO) algorithm were used. …”
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Sarcopenia and frailty among older Chinese adults: Findings from the CHARLS study. by Weiwei Xu, Jiasheng Cai, Yichen Liu, Lian Li, Xiaomei Ye, Ping Wang, Jiaping Lu, Mohammed Ahmed Akkaif, Min Zhang

“…<h4>Methods</h4>A population-based cross-sectional design was employed using data from the China Health and Retirement Longitudinal Study (CHARLS). …”
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European collaborations for safe and efficient dismantling: digital twins, ontology and data exchange by Jacques Marie-Bénédicte, Räty Antti, Cabrerizo Joseph A. Ridao, Daniska Dusan

“…Eight digital technologies will be integrated, including point-cloud data, 3D models and change detection, sensors data fusion, ALARA (As Low as Reasonably Achievable) dose estimation, robot mission optimization, and smart voice assistant interface.…”
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