Cytohistological Correlation of Thyroid Cases with Emphasis on Papillary Thyroid Carcinoma and Analysis of the Causes of Diagnostic Errors on Cytology by Soundarya SOUNDARYA, S. Mary Theresa SYLVIA, Banushree CHANDRASEKHAR SRINIVASAMURTHY

“…False positivity was due to vigorous aspiration and over-interpretation of nuclear features. Conclusion: Analysis of our discrepant cases highlighted the importance of multiple passes, sampling all nodules, and ultrasound-guided aspiration to reduce sampling error. …”
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Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation by Tianbo Li, Lei Gao, Jiangning Wang

“…Gene set enrichment analysis (GSEA) implicated IL-17 signaling, proteasome function, and microbial infection pathways. …”
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Rapid label-free analysis of Opisthorchis viverrini eggs in fecal specimens using confocal Raman spectroscopy. by Oranat Chuchuen, Thani Thammaratana, Oranuch Sanpool, Rutchanee Rodpai, Wanchai Maleewong, Pewpan M Intapan

“…Raman features of O. viverrini eggs were reported that can be used as marker bands for the efficient analysis of O. viverrini eggs in fecal specimens. …”
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Social Media Based Topic Modeling for Smart Campus: A Deep Topical Correlation Analysis Method by Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji

“…In this paper, we present a novel deep topical correlation analysis (DTCA) approach, which achieves robust and accurate topic detection for microblogs and simultaneously handles the two challenges aforementioned. …”
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Two Novel Multidimensional Data Analysis Approaches Using InSAR Products for Landslide Prone Areas by Hamit Beran Gunce, Bekir Taner San

“…Overall, the integration of InSAR with statistical and multidimensional analysis significantly enhances the detection and interpretation of ground deformation patterns in landslide-prone areas.…”
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Consumers’ Attitudes Towards Whole Dried Figs Attributes: A Preliminary Study in Italy by Federica Monaco, Pietro De Marinis, Guido Sali

“…A hierarchical cluster analysis detected four typologies of consumers and validate previous findings on taste being the prime purchasing driver. …”
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Analysis of microRNA expression reveals convergent evolution of the molecular control of diapause in annual killifishes by Emanuel Barth, Emanuel Barth, Mario Baumgart, Luca Dolfi, Rongfeng Cui, Marco Groth, Roberto Ripa, Aurora Savino, Dario Riccardo Valenzano, Dario Riccardo Valenzano, Matthias Platzer, Manja Marz, Alessandro Cellerino, Alessandro Cellerino

“…A prominent feature is a dramatic downregulation of miR-430 expression that could be partially explained with a reduction of its copy numbers in the genome.…”
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Enhancing Mild Cognitive Impairment Auxiliary Identification Through Multimodal Cognitive Assessment with Eye Tracking and Convolutional Neural Network Analysis by Na Li, Ziming Wang, Wen Ren, Hong Zheng, Shuai Liu, Yi Zhou, Kang Ju, Zhongting Chen

“…Traditional cognitive assessment tools, such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA), exhibit limitations in feasibility, which potentially and partially affects results for early-stage MCI detection. This study developed and tested a supportive cognitive assessment system for MCI auxiliary identification, leveraging eye-tracking features and convolutional neural network (CNN) analysis. …”
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Enhanced and Interpretable Prediction of Multiple Cancer Types Using a Stacking Ensemble Approach with SHAP Analysis by Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

“…A similar high performance was observed in terms of AUC, Kappa, and MCC. The SHAP analysis revealed the most influential features for each cancer type, e.g., fatigue and alcohol consumption for lung cancer, worst concave points, mean concave points, and worst perimeter for breast cancer and Schiller test for cervical cancer. …”
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An Autoregressive-Based Motor Current Signature Analysis Approach for Fault Diagnosis of Electric Motor-Driven Mechanisms by Roberto Diversi, Alice Lenzi, Nicolò Speciale, Matteo Barbieri

“…Motor current signature analysis (MCSA) is an interesting noninvasive alternative to vibration analysis for the condition monitoring and fault diagnosis of mechanical systems driven by electric motors. …”
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AI-Enhanced Real-Time Monitoring of Marine Pollution: Part 2—A Spectral Analysis Approach by Navya Prakash, Oliver Zielinski

“…The system features a dual-unit design: an overview unit for wide-area detection and a directional unit equipped with an autonomous pan-tilt mechanism for focused high-resolution analysis. …”
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Coherence analysis of local randomness and nonlocal correlation through polarization-basis projections of entangled photon pairs by Byoung S. Ham

“…Second, we investigate coincidence detection between paired photons to understand the nonlocal correlation arising from independently controlled remote parameters, resulting in an inseparable product-basis relationship. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Principal Component Analysis (PCA) is then applied to diminish the dimensionality of the amalgamated features derived from environmental monitoring images, descriptive texts, and sensor data collected by industrial and mining enterprises. …”
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EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

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Natural language processing for kidney ultrasound analysis: correlating imaging reports with chronic kidney disease diagnosis by Chenlu Wang, Ritwik Banerjee, Harry Kuperstein, Hamza Malick, Ruqiyya Bano, Robin L. Cunningham, Hira Tahir, Priyal Sakhuja, Janos Hajagos, Farrukh M. Koraishy

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Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer by Yixuan Wang, Yue Han, Fei Li, Yuyang Lin, Bei Wang

“…Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. …”
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Alzheimer’s disease risk prediction using machine learning for survival analysis with a comorbidity-based approach by Ferial Abuhantash, Roy Welsch, Stan Finkelstein, Aamna AlShehhi

“…Various machine learning and deep learning methods for survival analysis are employed. Our top-performing model, fast random forest, achieves a concordance index of 0.84 when considering all feature modalities, with comorbidity data emerging as a significant predictor. …”
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Research progress in deep learning-based fundus image analysis for the diagnosis and prediction of hypertension-related diseases by Ping Li, Juan Tao, Quan Yuan, Rongqing Zhang, Peng Gao

“…In recent years, deep learning (DL) has rapidly advanced in the field of color fundus photography (CFP) analysis, demonstrating strong potential in vessel segmentation, artery/vein classification, lesion detection, and systemic disease prediction. …”
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Infrared and visible image fusion driven by multimodal large language models by Ke Wang, Dengshu Hu, Yuan Cheng, Yukui Che, Yuelin Li, Zhiwei Jiang, Fengxian Chen, Wenjuan Li

“…To better incorporate these suggestions, we design a Text-Driven Feature Harmonization (Text-DFH) module. Text-DFH refines the features produced by the fusion network according to the recommendations from the multimodal large language model, enabling the fused image to better meet the needs of pedestrian detection tasks.ResultsCompared with existing methods, the key advantage of our approach lies in utilizing the strong semantic understanding and scene analysis capabilities of multimodal large language models to provide precise guidance for improving fused image quality. …”
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Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care by Rahul Kumar, Kyle Sporn, Akshay Khanna, Phani Paladugu, Chirag Gowda, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

“…We examine integrating quantitative imaging features from MRI, CT, and PET with genomic and transcriptomic data to enable non-invasive tumor profiling. …”
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