Acute kidney injury and its progression in hospitalized patients-Results from a retrospective multicentre cohort study with a digital decision support system. by Thea Sophie Kister, Johannes Remmler, Maria Schmidt, Martin Federbusch, Felix Eckelt, Berend Isermann, Heike Richter, Markus Wehner, Uwe Krause, Jan Halbritter, Carina Cundius, Markus Voigt, Alexander Kehrer, Jörg Michael Telle, Thorsten Kaiser

“…Our automated CDSS enables timely detection and bears potential to improve AKI outcomes, notably in cases of progressive AKI.…”
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Crops Disease Detection, from Leaves to Field: What We Can Expect from Artificial Intelligence by Youssef Lebrini, Alicia Ayerdi Gotor

“…The state of the art has shown significant progress in the detection and identification of disease at the leaf scale in most of the cultivated species, but less progress is done in the detection of diseases at the field scale where the environment is complex and applied only in some field crops.…”
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Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression by Eva Valentina Klocker, Samantha Hasenleithner, Rupert Bartsch, Simon P. Gampenrieder, Daniel Egle, Christian F. Singer, Gabriel Rinnerthaler, Michael Hubalek, Katja Schmitz, Zsuzsanna Bago‐Horvath, Andreas Petzer, Sonja Heibl, Ellen Heitzer, Marija Balic, Michael Gnant

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Impact of re-evaluation resection in the treatment of high-grade pT1 bladder tumors: analysis of 43 cases by Alexandre Vahina Gamamou, Kayes Chaker, Lahoumbo Ricardo Gnammi, Moez Rahoui, Aboubacar Cherif, Mamadou Bissiriou Bah, Morlaye Fatoumata Bangoura, Mokhtar Bibi, Yacine Ouanes, Ibrahima Bah, Abdoulaye Bobo Diallo, Oumar Raphiou Bah, Yacine Nouira

“…The aim of this study was to demonstrate the impact of a second resection on the staging, progression, and prognosis of high-grade pT1 bladder tumors. …”
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The concentration of matrix metalloproteinase 9 in the tumor and peritumoral tissue as prognostic marker in breast cancer patients by Cvetković Danijela M., Milošević Bojan Z., Cvetković Aleksandar M., Ninković Srđan M., Jovankić Jovana V., Jovanović Dalibor V., Marković Snežana D.

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Monitoring the chemical and structural changes during progressive aqueous alteration of silica thin films deposited by CVD process : accurate thickness loss rates measurements by Farah Inoubli, Babacar Diallo, Konstantina Christina Topka, Raphael Laloo, Emmanuel Veron, Vincent Sarou-Kanian, Brigitte Caussat, Thierry Sauvage, Viviane Turq, Nadia Pellerin

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When a sore throat turns into deadly multiple serous cavity effusions: the role of Prevotella oris in rapidly progressing infection—a case report by Fangqi Zhang, Juan-Li Wang, Jian Zhu, Shaokui Si, Hao Guo, Xiang Yue, Wei Wen

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Advances in the Application of CRISPR-Cas-Based Detection Systems for Safety Monitoring and Control in the Food Supply Chain by WAN Wen-yuan, ZHANG Feng, LIU Zhi-yong, ZHAO Yu

“…This review explores the progress and applications of CRISPR-Cas detection systems in identifying foodborne viruses. …”
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Prognostic potential of tumor lesions of the lower uterine segment in early endometrioid cancer of the uterine body by B. E. Tkachenko, L. S. Mkrtchian, I. A. Zamulaeva, A. B. Galitsyna, E. V. Sheberova, T. А. Agababyan, S. A. Ivanov, A. D. Kaprin

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Anti-MDA5 antibody IgG1 subtype is associated with rapidly progressive interstitial lung disease in anti-MDA5-positive dermatomyositis by Yun Wu, Yue Wang, Yulu Qiu, Chengying Lv, Yujing Zhu, Lei Wang, Lingxiao Xu, Hanxiao You, Fang Wang, Wenfeng Tan

“…Abstract Background Rapidly progressive interstitial lung disease (RP-ILD) is a severe, often fatal complication in patients with anti-melanoma differentiation-associated gene 5 antibody-positive dermatomyositis (MDA5+ DM). …”
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MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern by Q. He, Y. J. Zheng, C.L. Zhang, H. Y. Wang

“…Currently, multivariate time series anomaly detection has made great progress in many fields and occupied an important position. …”
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Advancements in surface-enhanced femtosecond stimulated Raman spectroscopy: exploring factors influencing detectability and shapes of spectra by Pyrcz Patryk, Gawinkowski Sylwester

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From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection by Asmita, Praveen Mittal

“…Recent advancements in deep transfer learning have driven transformative progress in automating tumor detection, achieving notable improvements in accuracy, scalability, and computational efficiency. …”
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The Role of Pd-Pt Bimetallic Catalysts in Ethylene Detection by CMOS-MEMS Gas Sensor Dubbed GMOS by Hanin Ashkar, Sara Stolyarova, Tanya Blank, Yael Nemirovsky

“…This work summarizes the significant progress in ethylene detection based on an innovative Gas Metal Oxide Semiconductor (GMOS) sensor and a new catalytic composition of metallic nanoparticles. …”
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Electric Vehicles CAN Bus Cyber Attacks Detection Using Adaptive Neuro Fuzzy Inference System by Omar Adil Al Isawi, Khaled Ali Al Jaafari, Ameena Saad Al-Sumaiti

“…The Electric Vehicle (EV) industry has recently experienced notable technological progress in the field of Controller Area Network (CAN) protocol. …”
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FinGraphFL: Financial Graph-Based Federated Learning for Enhanced Credit Card Fraud Detection by Zhenyu Xia, Suvash C. Saha

“…In the field of credit card fraud detection, traditional methods often struggle due to their reliance on complex manual feature engineering or their inability to adapt to rapidly changing fraud patterns. …”
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MCFNet: Multi-Scale Contextual Fusion Network for Salient Object Detection in Optical Remote Sensing Images by Jinting Ding, Yueqian Quan, Honghui Xu

“…The rapid advancement of deep learning has catalyzed progress in salient object detection (SOD), extending its impact to the domain of optical remote sensing images (ORSIs). …”
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Towards automatic farrowing monitoring-A Noisy Student approach for improving detection performance of newborn piglets. by Martin Wutke, Clara Lensches, Ulrich Hartmann, Imke Traulsen

“…Firstly, the results contribute directly to the improvement of piglet detection in the context of birth monitoring systems and the evaluation of the farrowing progress. …”
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State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods by Lebo Dina Mashifane, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The research findings indicate that there is clear progress in detecting transformer faults, moving from older methods like Dissolved Gas Analysis (DGA) to machine learning models such as Random Forest and Convolutional Neural Networks (CNN). …”
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PCR-Based Direct Detection of Streptococcus uberis from Subclinical and Clinical Dairy Cattle Milk Samples by Virginia E. Sherwin, Morena Santi, Olivia Walker, Natalie D. Pickwell, Tracey J. Coffey, James A. Leigh, Sharon A. Egan

“…Streptococcus uberis is one of the leading causes worldwide of mastitis in the dairy industry, with the most likely sources of infection attributed to environmental reservoirs such as contaminated bedding materials. Early detection of those cases most likely to progress to clinical disease would lead to improved animal welfare, a critical component of overall health and productivity. …”
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