Feasibility, Safety, and Early Outcomes of Image‐Guided Segmentectomy Using Near‐Infrared Fluorescence Dye for Tumor Visualization and Margin Identification: A Collaborative Effort... by Ching Feng Wu, Kuei An Chen, Ming Ju Hsieh, Yu Fu Wu, Tzu Yi Yang, Ching Yang Wu

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Anomaly Detection in Blockchain: A Systematic Review of Trends, Challenges, and Future Directions by Ruslan Shevchuk, Vasyl Martsenyuk, Bogdan Adamyk, Vladlena Benson, Andriy Melnyk

“…This paper presents a comprehensive bibliometric analysis of anomaly detection research in blockchain networks from 2017 to 2024, conducted under the PRISMA paradigm. …”
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Unleashing the potential of high-throughput sequencing for plant virus and viroid detection in Mexico by Carolina Pacheco-Dorantes, Juan Manuel Tovar-Pedraza, Daniel Leobardo Ochoa-Martínez, Ramiro González-Garza, Alfredo Diaz-Lara

“…High-throughput sequencing (HTS) has revolutionized plant virology in Mexico by enhancing the detection and characterization of plant viruses and viroids. …”
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Scintillation light in SBND: simulation, reconstruction, and expected performance of the photon detection system by SBND Collaboration

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Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives by Sameen Zafar, Amna Hafeez, Hania Shah, Iqra Mutiullah, Arslan Ali, Khushbukhat Khan, Gabriela Figueroa-González, Octavio Daniel Reyes-Hernández, Laura Itzel Quintas-Granados, Sheila I. Peña-Corona, Lashyn N. Kiyekbayeva, Monica Butnariu, Cristina-Elena Tota, Angela Caunii, Dietrich Büsselberg, Javad Sharifi-Rad, Gerardo Leyva-Gómez

“…Abstract Early detection and accurate cancer diagnosis are crucial for improving patient outcomes and survival rates. …”
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AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction by Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng, Nawal Almutairi, Yashbir Singh, Shiba Kuanar, Farzana Ali, Orhan Unal, Shahriar Faghani

“…Artificial intelligence (AI)-based object detection in radiology can assist in clinical diagnosis and treatment planning. …”
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YOLOv12 for Human Object Detection in Real-time Video Surveillance Systems by Yohanes Bowo Widodo, Sondang Sibuea, Rano Agustino

“…This research discusses the application of the YOLO (You Only Look Once) model to detect human objects in real-time video surveillance systems. …”
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GCSA-ResNet: a deep neural network architecture for Malware detection by Yukang Fan, Kun Zhang, Bing Zheng, Yu Zhou, Jinyang Zhou, Wenting Pan

“…Abstract With the exponential growth in the quantity and complexity of malware, traditional detection methods face severe challenges. This paper proposes GCSA-ResNet, a novel deep learning model that significantly enhances malware detection performance by integrating the Global Channel-Spatial Attention (GCSA) module with ResNet-50. …”
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The Blending ToolKit: A simulation framework for evaluation of galaxy detection and deblending by Ismael Mendoza, Andrii Torchylo, Thomas Sainrat, Axel Guinot, Alexandre Boucaud, Maxime Paillasa, Camille Avestruz, Prakruth Adari, Eric Aubourg, Biswajit Biswas, James Buchanan, Patricia Burchat, Cyrille Doux, Remy Joseph, Sowmya Kamath, Alex I. Malz, Grant Merz, Hironao Miyatake, Cécile Roucelle, Tianqing Zhang, LSST Dark Energy Science Collaboration

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A Federated Learning Model for Detecting Cyberattacks in Internet of Medical Things Networks by Abdallah Ghourabi, Adel Alkhalil

“…In this paper, we propose a novel approach based on Federated Learning (FL), enabling medical devices to collaboratively detect cyberattacks without directly sharing sensitive data. …”
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FedNDA: Enhancing Federated Learning with Noisy Client Detection and Robust Aggregation by Tuan Dung Kieu, Charles Fonbonne, Trung-Kien Tran, Thi-Lan Le, Hai Vu, Huu-Thanh Nguyen, Thanh-Hai Tran

“… Federated Learning is a novel decentralized methodology that enables multiple clients to collaboratively train a global model while preserving the privacy of their local data. …”
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From lab to life: technological innovations in transforming cancer metastasis detection and therapy by Soumya Basu, Satish Sasikumar, Subhayan Sur, Viniti Vaidya, Supriya Kheur, Samir Gupta, Amit Ranjan, Manash Paul, Neelu Nawani, Aditi Bhat, Nikita Adak

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Advancement of Electrospun Carbon Nanofiber Mats in Sensor Technology for Air Pollutant Detection by Al Mamun, Mohamed Kiari, Abdelghani Benyoucef, Lilia Sabantina

“…For example, optical, piezoelectric and resistive ECNs sensors effectively monitor particulate matter, while chemoresistive and catalytic ECNs sensors are particularly good at detecting gaseous pollutants. For heavy metals, electrochemical ECNF sensors offer accurate and reliable detection. …”
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Review on Application of Machine Learning in Detecting Suicidal Ideation for Social Media Users by MENG Xiuyang, WANG Shiyi, LI Dudu, WANG Chunling

“…Finally, the limitations of machine learning in the application research of suicidal ideation detection on social media are comprehensively discussed, and future research directions are proposed, in order to further promote the formation of a new paradigm of data-driven, human-computer collaboration, interdisciplinary integration, and cross-cultural domain of suicide ideation detection.…”
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Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection by Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, the CMS-HCAL Collaboration

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A Deep Learning Segmentation Model for Detection of Active Proliferative Diabetic Retinopathy by Sebastian Dinesen, Marianne G. Schou, Christoffer V. Hedegaard, Yousif Subhi, Thiusius R. Savarimuthu, Tunde Peto, Jakob K. H. Andersen, Jakob Grauslund

“…We aimed to develop a DL segmentation model to detect active PDR in six-field retinal images by the annotation of new retinal vessels and preretinal hemorrhages. …”
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Prospective cohort for early detection of liver cancer (Pearl): a study protocol by Emma Culver, Eleanor Barnes, Michael Pavlides, Hamish Innes, Jennifer Benselin, William Irving, Kartikeya Khanna, DeLIVER Consortium

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Eating disorders: Involvement of pediatricians in their prevention, early detection, evaluation and multidisciplinary management by Raquel Jiménez García, Covadonga Canga-Espina, Andrea Múñoz Domenjó, Gemma Ochando Perales, Azucena Díez-Suárez

“…However, the high demand for services may delay access to specialized care, which makes it necessary for pediatricians to adopt a proactive role.Pediatricians play a key role in the prevention of eating disorders by promoting a healthy relationship with food and body image as well as in their detection and initial management, enabling the implementation of early interventions to stabilize the patient while coordinating specialized care. …”
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Detection of Borrelia burgdorferi (s.l.) in Ixodes ricinus ticks collected in Iceland by Matthias Alfredsson, Kayleigh Hansford, Daniel Carter, Heiða Sigurðardóttir, Þórunn Sóley Björnsdóttir, Hrólfur Smári Pétursson, Guðný Rut Pálsdóttir, Jolyon M. Medlock

“…The most frequently detected was Borrelia garinii (82.1%), followed by B. valaisiana (14.3%) and B. afzelii (3.6%). …”
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Accidental Detection of Cocaine in Urine in Pediatric Patients: Case Series and Literature Review by Martina Focardi, Ilenia Bianchi, Marta Romanelli, Valentina Gori, Laura Nanni, Fabio Vaiano, Stefania Losi

“…The occasional detection of cocaine in cases that showed no suspicion of intoxication led to a modification of the procedure and the development of a standardized protocol at IRCCS Meyer both in terms of prevention and in the detection and interception of hidden cases, in order to intervene early and initiate the necessary care pathways (secondary prevention). …”
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