Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset by Muskan Naresh Jain, Salah Mohammed Awad Al-Heejawi, Jamil R. Azzi, Saeed Amal

“…These results demonstrated that Vision Transformers might perform well and successfully identify important features from smaller patches. Through utilizing histopathological images, our findings will assist pathologists in diagnosing kidney cancer, resulting in early detection and increased patient survival rates.…”
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Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets by Saleh Nagi Alsubari, Sachin N. Deshmukh, Mosleh Hmoud Al-Adhaileh, Fawaz Waselalla Alsaade, Theyazn H. H. Aldhyani

“…Thus, developing a fake review detection system is ultimately required for E-commerce business. …”
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Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets by Muhammad Tahir Naseem, Na-Hyun Kim, Haneol Seo, JaeMok Lee, Chul-Min Chung, Sunghoon Shin, Chan-Su Lee

“…While artificial intelligence has been employed for sarcopenia detection, previous studies have predominantly focused on skeleton-based datasets without exploring the combined potential of skeleton and foot pressure dataset. …”
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Predicting p53 Status in IDH‐Mutant Gliomas Using MRI‐Based Radiomic Model by Jiamin Li, Zhihong Lan, Xiao Zhang, Xiaoyun Liang, Hanwei Chen, Xiangrong Yu

“…The predictive performance of the models was evaluated using receiver operating characteristic (ROC) curve analysis. Results The VOIPE model, which included the eight best‐performing features, demonstrated the highest predictive performance among the three VOI‐based models, with AUCs of 0.811 (95% CI: 0.782–0.840) and 0.810 (95% CI: 0.786–0.834) in the training and validation cohorts, respectively. …”
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Dual-Branch Luminance–Chrominance Attention Network for Hydraulic Concrete Image Enhancement by Zhangjun Peng, Li Li, Chuanhao Chang, Rong Tang, Guoqiang Zheng, Mingfei Wan, Juanping Jiang, Shuai Zhou, Zhenggang Tian, Zhigui Liu

“…The CRB integrates a Channel Denoiser Block (CDB) for channel-specific noise suppression and a Frequency-Domain Detail Enhancement Block (FDDEB) to refine chrominance information and enhance subtle defect textures. A feature fusion block is designed to fuse and learn the features of the outputs from the two branches, resulting in images with enhanced luminance, reduced noise, and preserved surface anomalies. …”
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Plasma cell-free extrachromosomal circular DNA is a molecular hallmark of preeclampsia by Peng Han, Chunxiao Zhang, Fangfang Ge, Chengxun Liu, Jing Fu, Wei Lv, Xin Jin, Jianguo Zhang, Lijian Zhao, Yonglun Luo, Xi Su, Xinqiang Lan

“…The reliability of eccDNA detection was validated using Integrative Genomics Viewer plots and Sanger sequencing. …”
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Proximal bronchiolar adenoma with malignant transformation to invasive mucinous adenocarcinoma with 4 years follow-up: a case report and literature review by Yuan-Hui Yang, Ke Yin, Jia-Qi Xu, Xiao-Ying Xu, Jun-Lei Zhang, Ji-Xuan Liu, Xin-Zhi Feng, Xiao-Yan Lin, Xiao-Yan Lin

“…Hybridization Capture-based next-generation sequencing (NGS) analysis detected driver gene mutations in Kirsten Rat Sarcoma viral oncogene homolog (KRAS) and Cyclin-Dependent Kinases (CDK) 6 in the case, thereby inferring the malignant transformation of BA into IMA.ConclusionIn this case, the detection of driver gene KRAS mutation and loss of continuity in the basal cell layer within the mucous glandular structures of the nodule suggests the malignant transformation of BA into IMA, inferring the malignant potential of BA.…”
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Dual-Mode Visual System for Brain–Computer Interfaces: Integrating SSVEP and P300 Responses by Ekgari Kasawala, Surej Mouli

“…Oscilloscopic verification confirmed the precision of these stimulation frequencies. Real-time feature extraction was accomplished through the concurrent analysis of maximum Fast Fourier Transform (FFT) amplitude and P300 peak detection to ascertain user intent. …”
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Introducing HeliEns: A Novel Hybrid Ensemble Learning Algorithm for Early Diagnosis of <i>Helicobacter pylori</i> Infection by Sultan Noman Qasem

“…The development of HeliEns involved rigorous data preprocessing steps, including data cleaning, encoding of categorical variables, and feature scaling, to ensure the dataset’s suitability for quantum machine learning algorithms. …”
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A clinical case of transthyretin amyloidosis with manifestations of seronegative arthritis by V. A. Mareeva, A. A. Klimenko, E. R. Moskalets, P. A. Glazunov, N. A. Shostak, E. V. Zhilyaev

“…The hereditary nature of ATTR amyloidosis was excluded by the results of genetic analysis, which did not reveal mutations in the transthyretin gene. …”
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A novel measurement system for unattended, in situ characterization of carbonaceous aerosols by A. Keller, P. Specht, P. Steigmeier, E. Weingartner

“…This is a new feature that, to our knowledge, is exclusive of our system. …”
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Body roundness index, visceral adiposity index, and metabolic score for visceral fat in predicting new-onset atrial fibrillation: a UK Biobank cohort study by Yi ZHENG, Lei LIU, Xinyu ZHENG, Tong LIU, Xiaoping LI

“…Monitoring and managing BRI may be important in the early detection and intervention of AF.…”
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Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…Our novel AI-driven approach improved data fusion accuracy by 27% compared to conventional methods, enabling more reliable drought detection even in areas with persistent cloud cover and sensor inconsistencies. …”
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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6–23 months in Ethiopia by Addisalem Workie Demsash, Rediet Abebe, Wubishet Gezimu, Gemeda Wakgari Kitil, Michael Amera Tizazu, Abera Lambebo, Firomsa Bekele, Solomon Seyife Alemu, Mohammedamin Hajure Jarso, Geleta Nenko Dube, Lema Fikadu Wedajo, Sanju Purohit, Mulugeta Hayelom Kalayou

“…Principal component analysis and heatmap function were used for correlation detection between features. …”
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DISEASES OF THE GENITOURINARY SYSTEM IN HIV INFECTION–A NEW PROBLEM OF MODERN UROLOGY by S. K. Yarovoy

“…We noted the predominance of acute infectious and inflammatory diseases of the genitourinary system, that require immediate initiation of antibiotic therapy in the empirical mode, and in some cases, emergency surgery. We detected the predisposition to acute infectious and inflammatory diseases of the scrotum is a feature of HIV-infected patients.Article is supplemented with analysis of the effectiveness of the main pharmacological groups of antibacterial drugs for the treatment of nonspecific infectious and inflammatory diseases of the urogenital system in patients with HIV infection.…”
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Visualization of Breast Cancer and Safety: Review by Lina Zaripova, Elmira Chuvakova, Aigul Segizbayeva, Abai Baigenzhin, Assel Yegembay, Dana Idrissova

“…The treatment and prognosis have improved significantly due to early detection. The rapid development of various imaging techniques has led to success in early detection. …”
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Deep learning techniques for speech emotion recognition: A review by Silviana Widya Lestari, Saliyah Kahar, Trismayanti Dwi

“…Therefore, the purpose of this work is to provide a comprehensive overview and provide a detailed overview of deep learning methods for speech emotion detection. The method used is a comparative literature analysis of previous articles that are relevant to the topic, which are related to both the methods of deep learning and the collections of data. …”
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Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep–Wake Stage Classification by Masoud Nateghi, Mahdi Rahbar Alam, Hossein Amiri, Samaneh Nasiri, Reza Sameni

“…To address this challenge, automated brain monitoring has emerged as a crucial solution for cost-effective and efficient EEG data analysis. A critical component of sleep analysis is detecting transitions between wakefulness and sleep states. …”
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Application of Mask R-CNN for automatic recognition of teeth and caries in cone-beam computerized tomography by Yujie Ma, Maged Ali Al-Aroomi, Yutian Zheng, Wenjie Ren, Peixuan Liu, Qing Wu, Ye Liang, Canhua Jiang

“…This suggests that COCO’s diverse and richly annotated images offer more relevant features for detecting dental structures and carious lesions. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. …”
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