Elucidating the role of LGALS3BP in coronary atherosclerosis: integrating bioinformatics and machine learning for advanced insights by Suzhen Zhao, Chuanxin Zhao, Linlin Wang, Baoe Cheng, Man Zheng, Xiuyun Wang

“…The relationship between LGALS3BP expression and immune processes was explored using CIBERSORT and ESTIMATE algorithms, which indicated a positive association between higher LGALS3BP expression and increased immune cell infiltration. …”
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Inertial measurement unit technology for gait detection: a comprehensive evaluation of gait traits in two Italian horse breeds by Vittoria Asti, Michela Ablondi, Arnaud Molle, Andrea Zanotti, Matteo Vasini, Alberto Sabbioni

“…A high variability was observed in the accuracy of the SVM model, ranging from 55 to 100% while the other two models showed higher consistency, with accuracy ranging from 74 to 100% for the GBM and from 64 to 88% for the KNN. …”
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Evaluation of Diagnostic Recommendations Embedded in Medication Alerts: Prospective Single-Arm Interventional Study by Yu-Chen Liu, Guan-Ling Lin, Jeremiah Scholl, Yi-Chun Hung, Yu-Jing Lin, Yu-Chuan Li, Hsuan-Chia Yang

“…The system provided diagnostic recommendations based on machine learning algorithms trained on data from the National Health Insurance Research Database. …”
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Optimizing role assignment for scaling innovations through AI in agricultural frameworks: An effective approach by Sonia Bisht, Ranjana, Swapnila Roy

“…The proposed approach serves as a blueprint for agricultural enterprises aiming to adopt AI technologies while ensuring optimal utilization of human and technological resources. …”
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Association between hemoglobin A1c variability and hypoglycemia-related hospitalizations in veterans with diabetes mellitus by Julia C Prentice, Molly J Y Zhao, David C Mohr, Paul R Conlin

“…HRH was identified during a 2-year follow-up period from Medicare and the Veterans Health Administration through validated algorithms of International Classification of Diseases (ICD)-9 and ICD-10 codes. …”
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Molecular insights into ulcerative colitis and orbital inflammation by Kang Tan, Pei Liu, Zixuan Wu, Xi Long, Yunfeng Yu, Pengfei Jiang, Qinghua Peng

“…Abstract Ulcerative colitis (UC) is an increasingly prevalent inflammatory condition affecting the intestinal mucosa, while nonspecific orbital inflammation (NSOI) is a common non-neoplastic orbital disorder. …”
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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

“…In the neck network, a Slim-Neck module (GSconv + VoVGSCSP) is incorporated to reduce the parameter count and model size while simultaneously augmenting the detection performance. …”
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The Effect of Family-Centered Empowerment Model Based on Multimedia Education on the Quality of Life of Children Aged 8-12 Years with Thalassemia by Ayoub Mohamadian, Ali Moeini, Mahnaz Sanjari, Zahra Abdullahzade

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EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation by Junlong Li, Quan Feng, Jianhua Zhang, Jianhua Zhang, Sen Yang

“…The LFEM utilizes multiple convolutional layers to capture lesion boundaries and detailed characteristics, while the GFEM fine-tunes ViT blocks using a Multi-Scale Adaptive Adapter (MAA) to obtain multi-scale global information. …”
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Deep Learning in Defect Detection of Wind Turbine Blades: A Review by Katleho Masita, Ali N. Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Addressing current limitations through interdisciplinary research and innovative algorithms will pave the way for sustainable and cost-effective wind energy systems, ultimately contributing to the global transition toward renewable energy.…”
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Integrative analysis identifies FBXO5 as a critical mediator of CRPC progression and bone metastatic potential by Rajnikant Raut, Devesh Srivastava, Amit Kumar Chakraborty, Manish V. Bais, Parul Mishra, Ashish Misra

“…Methods and Results In this study, we employed machine learning (ML) algorithms and integrative bioinformatics approaches to analyze the gene expression profiles of E3 ubiquitin ligases in CRPC patients. …”
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Identification of mitochondria-related feature genes for predicting type 2 diabetes mellitus using machine learning methods by Xiuping Xuan, Mingjin Sun, Donghui Hu, Chunli Lu

“…Random Forest, Least Absolute Shrinkage and Selection Operator, and Support Vector Machines-Recursive Feature Elimination algorithms were used to screen mitochondria-related feature genes. …”
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BattyCoda: A novel open-source software for bat call annotation and classification by Gabriela C. Nunez-Mir, Kevin M. Boergens, Jessica C. Montoya, Hannah ter Hofstede, Angeles Salles

“…Our tool can greatly facilitate annotating bat calls in recordings by providing accurate labels for common call types, while also assisting researchers in categorizing rarer communication calls. …”
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Therapeutic and Diagnostic Tactics for Metastases to the Lymph Nodes of the Neck without an Identified Primary Focus by M. I. Sokolova, V. I. Pavlova

“…Prospective multicenter studies are required to improve and optimize the algorithms for diagnosis and treatment of these patients.…”
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Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model by Matthew Tivnan, Irene Désirée Kikkert, Dufan Wu, Kai Yang, Jelmer M. Wolterink, Quanzheng Li, Rajiv Gupta

“…Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), often produce artifacts in sparse-view data. …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…The model is efficient, fast, and resource-light, using decision tree-based algorithms that provide interpretable results. This interpretability helps to understand classification rules and facilitates targeted structural modifications to convert inactive complexes into potentially active ones.…”
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Phase tomography with axial structured illumination by Nishant Goyal, Kedar Khare

“…HT systems go beyond digital holographic microscopes (DHM) that provide a two-dimensional representation of the total accumulated phase acquired by a plane beam on transmission through a 3D sample. While the early HT systems used a direct reconstruction methodology based on the Fourier diffraction theorem, in recent years, there is an increasing shift towards iterative optimization frameworks for solving the 3D RI reconstruction problem. …”
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A pharmacovigilance analysis of post-marketing safety of durvalumab by An-Ju Tan, Wan-Ying Liu, Jun-Li Lu, Qing-Ying Tan, Yu Yan, Dun-Chang Mo

“…Abstract Durvalumab has demonstrated significant efficacy in several types of malignancies, while large-scale real-world safety studies remain limited. …”
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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

“…Dataset #2 used titles and keywords for pseudolabeling, while dataset #3 aligned abstracts with category labels. …”
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Real-World Safety Profile of Proton Pump Inhibitors in Infants as Reported in the FDA Adverse Event Reporting System (FAERS): Tiny Tummies, Key Decisions by Hülya Tezel Yalçın, Nadir Yalçın, Karel Allegaert

“…<b>Background</b>: Proton pump inhibitors (PPIs) are widely used for gastric acid suppression, yet their efficacy and safety in neonates and infants remain unclear. While esomeprazole is the only Food and Drug Administration (FDA)-approved PPI for neonates and infants under 1 year of age, other PPIs are also frequently prescribed. …”
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