Adaptive multi-scale phase-aware fusion network for EEG seizure recognition by Yanting Liang, Jingyuan Liu, Xinzhou Zhang

“…Electroencephalogram (EEG) analysis is the primary technique for detecting epileptic seizures, and accurate seizure detection is essential for clinical diagnosis, therapeutic intervention, and treatment planning. …”
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Liquid biopsy – a narrative review with an update on current US governmental clinical trials targeting immunotherapy by Fan Shen, Samar A. Zailaie, Brian Chiu, Anthony Magliocco, Consolato M. Sergi

“…Aim This study aims to present a comprehensive international analysis of the existing techniques used in liquid biopsies and their use in isolating tumor markers to detect, predict, and monitor the results of cancer treatment.Materials and Methods We conducted a narrative review using a scoping review model based on three databases, including PubMed/Medline, Scopus, and Cochrane. …”
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An automated in-field transport and imaging chamber system for high-throughput phenotyping of potted soybean by Xiuni Li, Menggen Chen, Shuyuan He, Mei Xu, Yao Zhao, Weiguo Liu

“…This expands trait detection capacity while reducing costs for reuse and secondary development. …”
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Transferable deep learning with coati optimization algorithm based mitotic nuclei segmentation and classification model by Amal Alshardan, Nazir Ahmad, Achraf Ben Miled, Asma Alshuhail, Yazeed Alzahrani, Ahmed Mahmud

“…These computer-aided techniques are aimed at detecting the attentive biological markers for assisting the final cancer grading. …”
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An Innovative Artificial Intelligence Classification Model for Non-Ischemic Cardiomyopathy Utilizing Cardiac Biomechanics Derived from Magnetic Resonance Imaging by Liqiang Fu, Peifang Zhang, Liuquan Cheng, Peng Zhi, Jiayu Xu, Xiaolei Liu, Yang Zhang, Ziwen Xu, Kunlun He

“…Our dual-path architecture combines a CNN-LSTM encoder for cine CMR analysis and an MLP encoder for IVPG time-series data, followed by feature fusion and dense classification layers. …”
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Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology by Panshi XIE, Hang YANG, Yongping WU, Baofa HUANG, Weidian LIN, Leilei YI

“…This study comprehensively delineates the design framework, structural features, and testing/detection methodologies of a large-scale coal mining face physical simulation system empowered by digital twin technology. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

“…This algorithm effectively addresses three key challenges: high vehicle miss detection rates, inadequate perception of small-angle targets, and insufficient feature extraction capabilities. …”
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ASSESSMENT OF INTERPHASE FLUORESCENCE IN SITU HYBRIDIZATION (FISH) TEST IN A PATIENT WITH MULTIPLE MYELOMA: EXPERIENCE OF OUR MEDICAL GENETICS DEPARTMENT by Fatma Turki, Imen Rezgui, Faten Kallel, Moez Mdhaffer, Hassen Kamoun, Rim Frikha

“…Thus, interphase Fluorescence In Situ Hybridization (FISH), performed on sorted plasma cells detected abnormalities independently of a proliferative and infiltrative index. …”
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Clinical applications of photon-counting CT in neuroimaging by LÜ Haiying, LU Yong, HE Naying

“…Photon-counting computed tomography (PCCT) is a next-generation CT imaging technology that markedly improves image quality while reducing radiation dose and image noise through single-photon detection and energy discrimination by photon detectors. …”
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Temporal and Spatial Variability of Multiscale Neutral Density Perturbations During Storm‐Time: Insights From Multi‐Satellite Observations by Yu Hong, Yue Deng, Lei Cai, Aaron Ridley, Gang Lu, Astrid Maute, Colin Waters, Douglas Rowland

“…Abstract The neutral density perturbations exhibit multiscale features during geomagnetic storms, playing a crucial role in ionosphere‐thermosphere (I‐T) dynamics. …”
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Clinical and psychological factors affecting sudden death risk in myocardial infarction patients by S. A. Boldueva, A. V. Shabrov, I. A. Leonova, T. Ya. Burak, M. V. Samokhvalova, O. V. Trofimova, E. G. Bykova, A. E. Gimgina

“…In multivariate analysis, the most important clinical factors included previous MI, hypotension in AOT, LV ejection fraction, ventricular arrhythmias by 24-hour ECG monitoring, HRV and LVP assessment data. …”
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Wound imaging software and digital platform to assist review of surgical wounds using patient smartphones: The development and evaluation of artificial intelligence (WISDOM AI stud... by Melissa Rochon, Judith Tanner, James Jurkiewicz, Jacqueline Beckhelling, Akuha Aondoakaa, Keith Wilson, Luxmi Dhoonmoon, Max Underwood, Lara Mason, Roy Harris, Karen Cariaga

“…Digital remote monitoring of surgical wounds via image-based systems has emerged as a promising solution for early detection and intervention. However, the increased clinician workload from reviewing patient-submitted images presents a challenge. …”
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OCT5k: A dataset of multi-disease and multi-graded annotations for retinal layers by Mustafa Arikan, James Willoughby, Sevim Ongun, Ferenc Sallo, Andrea Montesel, Hend Ahmed, Ahmed Hagag, Marius Book, Henrik Faatz, Maria Vittoria Cicinelli, Amani A. Fawzi, Dominika Podkowinski, Marketa Cilkova, Diana Morais De Almeida, Moussa Zouache, Ganesham Ramsamy, Watjana Lilaonitkul, Adam M. Dubis

“…The proposed dataset covers three subsets of scans (Age-related Macular Degeneration, Diabetic Macular Edema, and healthy) and annotations for two types of tasks (semantic segmentation and object detection). This dataset compiled 5016 pixel-wise manual labels for 1672 OCT scans featuring 5 layer boundaries for three different disease classes to support development of automatic techniques. …”
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The role of an ophthalmologist in the Alström syndrome diagnosis by Karadžić Jelena, Pantelić Jelica, Kovačević Igor, Trenkić-Božinović Marija

“…In addition to the clinical presentation, the mutation detection confirmed the initial diagnosis of the AS. …”
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No change in electrocortical measures of performance monitoring in high trait anxious individuals following multi-session attention bias modification training by Joshua M. Carlson, Lin Fang, Jeremy A. Andrzejewski

“…ABM training did not reduce ERN amplitudes. Bayesian analysis confirmed the null hypothesis of no changes in ERN amplitude following multi-session ABM. …”
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HAEMAGGLUTINATION TECHNIQUES TO EVALUATE SPECIFIC SAFETY OF HUMAN INTRAVENOUS IMMUNOGLOBULINS by O. G. Kornilova, E. V. Paramonova, A. V. Nechaev, E. Yu. Kudasheva, I. V. Borisevich, N. I. Kishkurno

“…Various modifications of the methods are discussed, thus allowing to optimize process of quality control for these preparations based on detection of haemagglutinins and anti-D antibodies. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…Segmentation methods such as eCognition, the edge-guided image object detection approach, and the segment anything method were utilized to transform RS imagery into vector data. …”
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Research on Buckwheat Weed Recognition in Multispectral UAV Images Based on MSU-Net by Jinlong Wu, Xin Wu, Ronghui Miao

“…It can also provide reference for multispectral data analysis and semantic segmentation in the field of minor grain crops.…”
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Inclusion of non-medical interventions in model-based economic evaluations for tuberculosis: A scoping review. by Lauren C Ramsay, Marina Richardson, Rafael N Miranda, Marian Hassan, Sarah K Brode, Elizabeth Rea, Beate Sander

“…As a secondary objective, this review aims to characterize key features of existing economic evaluations of medical and non-medical interventions.…”
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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…Overall, the results demonstrate that advanced ensemble learning, meticulous feature selection, and effective class imbalance handling can significantly enhance early detection in traumatic brain injury cases. …”
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