SGANet: A Siamese Geometry-Aware Network for Remote Sensing Change Detection by Jiangwei Chen, Sijun Dong, Xiaoliang Meng

“…The significant progress in the fields of deep learning and computer vision has propelled the development of remote sensing change detection. …”
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Intelligent Detection and Control of Crop Pests and Diseases: Current Status and Future Prospects by Jiaxing Xie, Meiyi Lu, Qunpeng Gao, Liye Chen, Yingxin Zou, Jiatao Wu, Yue Cao, Niechong Xu, Weixing Wang, Jun Li

“…This paper reviews the research progress in the application of machine learning, deep learning, and large language models in crop pest and disease detection and control, analyzes the challenges in current technological implementations, and explores future development directions.…”
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Deep Learning for Automatic Detection of Volcanic and Earthquake-Related InSAR Deformation by Xu Liu, Yingfeng Zhang, Xinjian Shan, Zhenjie Wang, Wenyu Gong, Guohong Zhang

“…We then systematically review recent progress in the automatic detection and identification of volcanic and earthquake deformation signals from InSAR images using deep learning techniques. …”
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Harnessing polydiacetylene (PDA): A review of structural mechanics and infectious disease detection by Soumendu Patra, Harshita Shand, Sayan Ghosal, Suvankar Ghorai

“…The review also focuses on the status of PDA vesicles for infectious disease detection.…”
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Analysis of student’s final qualification theses using text loans detection systems by D. A. Petrusevich, K. D. Shakhardin

“…This research is actual because of the progress and development of new informational technologies used in the educational system. …”
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Cross-Supervised LiDAR-Camera Fusion for 3D Object Detection by Chao Jie Zuo, Cao Yu Gu, Yi Kun Guo, Xiao Dong Miao

“…Recently, significant progress has been made in 3D object detection methods based on lift-splat-shot (LSS-based) approaches. …”
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A Review of Machine Learning Approaches for Non-Invasive Cognitive Impairment Detection by Muath Alsuhaibani, Ali Pourramezan Fard, Jian Sun, Farida Far Poor, Peter S. Pressman, Mohammad H. Mahoor

“…The paper comprises 60 peer-reviewed papers that mainly utilize deep learning models to detect cognitive impairment conditions. We have analyzed the performance of different methods across modalities and observed that speech and language-based methods generally achieved the highest detection performance. …”
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Methods for the early detection of drug-induced pancreatitis: a systematic review of the literature by Brian Hutton, David Moher, Becky Skidmore, Dianna Wolfe, Salmaan Kanji, Fatemeh Yazdi

“…Early published evidence suggested serial pancreatic ultrasound could detect subclinical pancreatitis; however, subsequent studies demonstrated no utility of serial ultrasound or serial monitoring of pancreatic enzymes in the early detection of DIP. …”
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Harnessing Aggregation‐Induced Emission‐Based Detection Toolbox for Diagnostics of Urogenital Tumors by Wenzhe Chen, Hantian Guan, Yongfeng Lu, Guohua Zeng, Di Gu, Keying Guo, Cheng Jiang, Hongxing Liu

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An automatic pruning method for SAR target detection based on multitask reinforcement learning by Huiyao Wan, Jie Chen, Pazlat Nurmamat, Hongcheng Zeng, Wei Yang, Tao Xu, Bocai Wu, Jie Chen, Zhixiang Huang, Paulo S.R. Diniz

“…In recent years, research on synthetic aperture radar (SAR) target detection based on deep learning methods has made substantial progress in model accuracy. …”
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BrYOLO-Mamba: A Approach to Efficient Tracheal Lesion Detection in Bronchoscopy by Yuejiao Cao, Jianzhong Zhang, Ruibing Zhuo, Jin Zhao, Yanting Dong, Tanzhen Liu, Hui Zhao

“…Moreover, BrYOLO-Mamba demonstrated high sensitivity in detecting lesion areas, further proving its excellent detection capabilities. …”
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Circulating miRNAs in genitourinary cancer: pioneering advances in early detection and diagnosis by Annunziata Gaetana Cicatiello, Michele Musone, Silvestro Imperatore, Carlo Giulioni, Roberto La Rocca, Angelo Cafarelli, Francesco Del Giudice, Monica Dentice, Felice Crocetto

“…Not only miRNAs are present in various body fluids, such as serum and plasma, they also have high biological stability of miRNAs that in turn facilitates their detection. For these reasons, the use of miRNAs detection as non-invasive prognostic and predictive biomarkers in cancer provides new perspectives and strategies for personalized medicine and cancer therapy.This review summarizes the current knowledge supporting the utility of miRNAs as novel early diagnostic and prognostic tool, with a special focus on the effectiveness of miRNAs of the liquid biopsies in the diagnosis of urogenital cancers. …”
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Detecting and identifying Schistosoma infections in snails and aquatic habitats: A systematic review. by Bishoy Kamel, Martina R Laidemitt, Lijun Lu, Caitlin Babbitt, Ola Liota Weinbaum, Gerald M Mkoji, Eric S Loker

“…No single ideal diagnostic approach has yet been developed, but considerable recent progress has been made. We note a growing trend to use eDNA techniques to permit more efficient and replicable sampling. qPCR-based protocols for follow-up detection offer a versatile, mature, sensitive, and specific platform for diagnosis though centralized facilities will be required to favor standardization. …”
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Novel Pyramidal Bidirectional Gated Vision Transformer for Rice Leaf Disease Detection by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

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Cryptotanshinone Inhibits Bladder Cancer Cell Malignant Progression in a Lipopolysaccharide-Induced Inflammatory Microenvironment through NLRP3 Inhibition by Chenye Tang, Xiao Guo, Yu Li, Yongxiang Yi, Zhiling Tang, Qihui Zhang, Bairu Luo, Kean Chen, Ke Liang, Gang Li

“…BC tissue specimens from 62 patients were collected for immunohistochemical detection of NLRP3 protein. BC and normal urothelial cell lines were cultured for the detection of NLRP3 mRNA and protein. …”
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SPP1+ macrophages promote head and neck squamous cell carcinoma progression by secreting TNF-α and IL-1β by Chun Liu, Kun Wu, Chuwen Li, Zhen Zhang, Peisong Zhai, Haiyan Guo, Jianjun Zhang

“…Luminex liquid suspension chip detection assay indicated that SPP1 + Mac-derived TNF-α and IL-1β played important roles. …”
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Refractory chronic lymphocytic leukemia with concomitant extramedullary multiple myeloma with lymph node involvement by Piotr Jachimowski, Łukasz Ciulkiewicz, Bogna Ziarkiewicz-Wróblewska, Laretta Grabowska-Derlatka, Grzegorz Basak, Mateusz Ziarkiewicz

“…However combination of symptoms presented by our patient should always be an indication for repeating biopsy. Early detection of aggressive multiple myeloma can improve prognosis and prolong survival.…”
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Case Report: Neurofilament light chain in the follow up of progressive multifocal leukoencephalopathy in a patient with multiple sclerosis treated with ocrelizumab by Raquel Piñar-Morales, Raquel Piñar-Morales, Raquel Calle-Calle, Maria Carrasco-Garcia, Cristina Davila-Arias, Luisa Maria Villar-Guimerans, Francisco J. Barrero Hernandez, Francisco J. Barrero Hernandez

“…Progressive multifocal leukoencephalopathy (PML) results from the reactivation of John Cunningham virus JC virus and is a rare complication of anti-CD20 drug therapy. …”
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LATS2 and FAT4 as key candidate genes of hippo pathway associated with the risk and progression of breast cancer: an in-silico approach by Sadaf, Mubashir Zafar, Sheersh Massey, Abdulaziz A Aloliqi, Sadaf Anwar, Abrar Ali, Malik Asif Hussain, Tulika Bhardwaj, Kapil Dev

“…Researchers are exploring the hippo pathway, one of eight significant pathways involved in cancer progression, for potential biomarkers to use in personalized therapeutics. …”
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Interactive eAssessment of writing competency in French as a foreign language: Development and implementation of an AI-enhanced progress monitoring system by Abdelghani Es-sarghini, Abdelaziz Boumahdi

“…Through a qualitative study involving 15 French as a Foreign Language teachers across 3 primary schools in Morocco, we investigated the effectiveness of an AI-enhanced progress monitoring system. The participating teachers (mean age = 37.25 years, mean teaching experience = 17 years) implemented the system with 190 students across 7 classes. …”
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