Comprehensive fragmentation of cell-free repetitive DNA for enhanced cancer detection in plasma by Mingguang Zhang, Shuohui Dong, Wei Rao, Shiwen Mei, Gang Hu, Ling Liu, Zhen Wang, Jianqiang Tang

“…A machine learning-based multimodal model was developed using these features.ResultsThe multimodal model achieved high prediction performance for early tumor detection, even at ultra-low sequencing depths (0.1×, AUC = 0.9824). …”
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Service Marketing Analysis Of Movies As Unique Service-Products by Horváth Ádám, Gyenge Balázs

“…One of the features of films compared to other cultural products is the possibility of their use for advertising and information activities and influence on the formation of needs and audience preferences, as well as different patterns of consumer behavior. …”
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Dermatosis discoide facial. Serie de 13 casos by B. Butrón-Bris, C. Buján, S. Berenguer-Ruiz, L. Martos-Cabrera, P. Rodríguez-Jiménez, J. Fraga, C. Eguren, R. Serrano-Pardo, P. Iranzo, José M. Mascaró Jr., M. Llamas-Velasco, A. Reolid

“…However, the variability in histological features and persistence of lesions despite various treatments highlight the need for further research to better understand the pathogenesis of FDD and develop effective therapies.…”
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[Translated article] Facial Discoid Dermatosis. A 13-Case Series by B. Butrón-Bris, C. Buján, S. Berenguer-Ruiz, L. Martos-Cabrera, P. Rodríguez-Jiménez, J. Fraga, C. Eguren, R. Serrano-Pardo, P. Iranzo, José M. Mascaró, Jr., M. Llamas-Velasco, A. Reolid

“…However, the variability in histological features and persistence of lesions despite various treatments highlight the need for further research to better understand the pathogenesis of FDD and develop effective therapies. …”
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The linguistic foundations of the mediatization of communities in digital culture by Gábor Szécsi

“…As this study tries to highlight, this process involves a convergence of language use patterns between different communities in the sense of the convergence of imagery as a feature of electronic communication. …”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

“…These methods typically use ML algorithms to identify patterns within features extracted from data representing structural conditions, thereby inferring damage from changes in these patterns. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This framework enables probabilistic estimation of treatment resistance likelihood while providing transparent feature contribution analyses essential for developing patient-specific management protocols.…”
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Artificial Intelligence Approach in Hip Prosthesis Identification and Addressing Radiographic Outcome Measures by Omar Musbahi, MSc, ChM, Savvas Hadjixenophontos, MEng, Saran S. Gill, Iris Soteriou, Bsc, Kyriacos Pouris, Bsc, Takuro Ueno, PhD, Justin P. Cobb, MCh

“…By incorporating additional features such as the lateral NSA, the model can provide an accurate prediction of the AP radiographic NSA, closely approximating the ground truth.…”
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A computational enhancement of Base64 algorithm using Residue Number System algorithms by Kolawole Bariu LOGUNLEKO, Abolore Muhamin LOGUNLEKO, Ayisat Wuraola ASAJU-GBOLAGADE, Akinbowale Nathaniel BABATUNDE, Kazeem Alagbe GBOLAGADE

“…Therefore, the research bridges the security gap in the Base64 cryptographic algorithm by factoring the key mechanism of the RNS based algorithm into the newly developed algorithm. The pattern and confusion produced during the methodology procedure safeguards the data more effectively as shown in the cipher text generated.…”
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Pure pancreatic hepatoid carcinoma: a surgical case report and literature review by Takahiro Tomino, Mizuki Ninomiya, Rumi Matono, Fumiya Narutomi, Yumi Oshiro, Kenji Watanabe, Daisuke Taniguchi, Sho Nishimura, Yoko Zaitsu, Yuichiro Kajiwara, Tomoyuki Yokota, Kazuhito Minami, Takashi Nishizaki

“…Abstract Background Hepatoid carcinoma (HC) is an extra-hepatic neoplasm that shares the morphological and immunohistochemical features of hepatocellular carcinoma. Pancreatic HC exists as either pure or combined type. …”
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Deep learning outperforms existing algorithms in glacier surface velocity estimation with high-resolution data – the example of Austerdalsbreen, Norway by Harald Zandler, Jakob Abermann, Benjamin A. Robson, Alexander Maschler, Thomas Scheiber, Jonathan L. Carrivick, Jacob C. Yde

“…We conclude that continued development of deep learning-based feature tracking approaches for glacier velocity computations may substantially improve UAV-based velocity derivations applied to challenging situations. …”
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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…To address this, five regression models were developed to predict VF measures from OCT, Shapley Additive exPlanations (SHAP) analysis was performed for interpretability, and a clinical software tool called OCT to VF Predictor was developed. …”
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Systemic Hemodynamic Changes after Maximally Allowable Liver Resection in Rats by P. A. Ermolaev, T. P. Kramykh, L. O. Barskaya

“…The critical time found by the authors for the minimum cardiac output was an hour after surgery. The distinctive features of low cardiac output syndrome after maximally allowable liver resection are its reversible pattern and reflectory bradycardia on postoperative day 1. …”
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CAPSE-ViT: A Lightweight Framework for Underwater Acoustic Vessel Classification Using Coherent Spectral Estimation and Modified Vision Transformer by Najamuddin NAJAMUDDIN, Usman Ullah SHEIKH, Ahmad Zuri SHA’AMERI

“…The major challenge is inserting area-specific understanding into ML frameworks to extract features that effectively distinguish between different vessel types. …”
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Patho-Ecological Distribution and Genetic Diversity of <i>Fusarium oxysporum</i> f. sp. <i>cubense</i> in Malbhog Banana Belts of Assam, India by Anisha Baruah, Popy Bora, Thukkaram Damodaran, Bishal Saikia, Muthukumar Manoharan, Prakash Patil, Ashok Bhattacharyya, Ankita Saikia, Alok Kumar, Sangeeta Kumari, Juri Talukdar, Utpal Dey, Shenaz Sultana Ahmed, Naseema Rahman, Bharat Chandra Nath, Ruthy Tabing, Sandeep Kumar

“…The morpho-cultural characterization of Foc isolates showed large variations in colony morphological features, intensity, and pattern of pigmentation, chlamydospores, and conidial size. …”
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Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach by Saadia Iftikhar, Andrew R. Bond, Asim I. Wagan, Peter D. Weinberg, Anil A. Bharath

“…To achieve this, a segmentation technique was developed, which relies on a rich feature space to describe the spatial neighbourhood of each pixel and employs a Support Vector Machine (SVM) as a classifier. …”
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Improved YOLOv8-Based Method for the Carapace Keypoint Detection and Size Measurement of Chinese Mitten Crabs by Ke Chen, Zhuquan Chen, Changbo Wang, Zhifan Zhou, Maohua Xiao, Hong Zhu, Dongfang Li, Weimin Liu

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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…Regression activation mapping (RAM) was employed to extract feature maps of brain regions most predictive of irritability severity from the model. …”
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XGBoost-based machine learning model combining clinical and ultrasound data for personalized prediction of thyroid nodule malignancy by Wenhan Li, Wenhan Li, Yajing Zhou, Ziyu Luo, Ziyu Luo, Miao Tan, Miao Tan, Rui Yin, Jianhui Li, Jianhui Li

“…Nowadays, machine learning (ML) offers advanced capabilities to handle high-dimensional data and complex patterns. This study aimed to develop an ML model integrating clinical data and ultrasound features to improve personalized prediction of TN malignancy.MethodsData from 2,014 patients with TNs (2018.01–2024.01) were retrospectively analyzed, with 1,612 in the training set and 402 in the test set. …”
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