Machine learning-based diagnostic and prognostic models for breast cancer: a new frontier on the clinical application of natural killer cell-related gene signatures in precision me... by Yutong Fang, Rongji Zheng, Yefeng Xiao, Qunchen Zhang, Junpeng Liu, Jundong Wu

“…We constructed ML-based diagnostic models using 12 algorithms and evaluated their performance for identifying the optimal ML diagnostic model. …”
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Option Pricing Based on Modular Neural Network by Moslem Peymany Foroushani, mohamad ali dehghan dehnavi, Milad Kouhkan

“…In the neural network models, option prices were predicted using Python and its machine learning algorithms. …”
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Identification of biomarkers for knee osteoarthritis through clinical data and machine learning models by Wei Chen, Haotian Zheng, Binglin Ye, Tiefeng Guo, Yude Xu, Zhibin Fu, Xing Ji, Xiping Chai, Shenghua Li, Qiang Deng

“…Based on these rankings, predictive models were constructed using Logistic Regression (LR), Random Forest (RF), eXtreme Gradient Boosting (xGBoost), Naive Bayes (NB), Support Vector Machine (SVM), and Decision Tree (DT) algorithms. …”
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An Explainable Machine Learning Approach for IoT-Supported Shaft Power Estimation and Performance Analysis for Marine Vessels by Yiannis Kiouvrekis, Katerina Gkirtzou, Sotiris Zikas, Dimitris Kalatzis, Theodor Panagiotakopoulos, Zoran Lajic, Dimitris Papathanasiou, Ioannis Filippopoulos

“…A diverse set of models—ranging from traditional algorithms such as Decision Trees and Support Vector Machines to advanced ensemble methods like XGBoost and LightGBM—were developed and evaluated. …”
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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

“…Abstract Objectives Deep convolutional neural networks (CNNs) are advancing rapidly in medical research, demonstrating promising results in diagnosis and prediction within radiology and pathology. This study evaluates the efficacy of deep learning algorithms for detecting and diagnosing dental caries using cone-beam computed tomography (CBCT) with the Mask R-CNN architecture while comparing various hyperparameters to enhance detection. …”
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Identification and verification of biomarkers associated with neutrophils in acute myocardial infarction: integrated analysis of bulk RNA-seq, expression quantitative trait loci, a... by Guoqing Liu, Xiangwen Lv, Jiahui Qin, Xingqing Long, Miaomiao Zhu, Chuwen Fu, Jian Xie, Peichun He

“…Hub genes were screened using the least absolute shrinkage and selection operator (LASSO) and random forest (RF) algorithms. A cellular model of AMI was established using oxygen- and glucose-deprived AC16 cells. …”
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Студент плюс-минус Интернет, или интернет-составляющая в компетенции русиста by Larisa Mikheeva

“…To accommodate these recent changes in cognitive mechanisms, the educational material, and the theoretical elements which are offered to the modern pupils and students, one should intensively focus on contextualizing fragmentary information, providing records in the modernized forms such as modules, flowcharts, algorithms, and mind maps. …”
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PROGNOSTIC VALUE OF DIFFERENT OBESITY MARKERS FOR CARDIOVASCULAR RISK ASSESSMENT IN URBAN EMPLOYED MONGOLIANS by K. V. Protasov, T. Myagmarsuren

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Traditional and Perspective Methods of Corporate Non-Performing Loans Rejustment (Liquidation) by V. M. Poletaeva, A. M. Smulov

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Operational factors influencing quality control in ore milling: a systematic review by Eliana de Jesus Lopes, Guilherme Graciano dos Santos, Adriano Ricardo Almeida Alexandre

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Mountain & Alpine Medicine by Tannheimer M, 2

“…This requires profound training in makeshift mountain rescue techniques, the use of diagnostic algorithms and safe application of medications.Generally, material and manpower are very limited in such situations and exhaustion due to the challenging tour is an aggravating factor. …”
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Tutors' perceptions of ICTs in promoting computational thinking among pre-service teachers in Tanzanian colleges by Vicky Mrosso, Placidius Ndibalema, Abdon Ephrem

“…The findings revealed that tutors dominantly perceive CT as a digital literacy skill while ignoring the cognitive processes that underlie CT skills such as abstraction, algorithmic thinking, decomposition, and pattern recognition. …”
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AI-Driven Fire Detection and Suppression System with Real-Time Remote Monitoring by Metahri Dhiyaeddine, Dekar Amina, SettingsKadi Halima Bouchra

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Asymmetric Consumptive News Feed Curation? Examining How Perceived News Feed Performance Influences Boosting and Limiting Curation on Facebook by Shuning Lu, Biying Wu-Ouyang, Hsuan-Ting Chen

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A lightweight knowledge graph-driven question answering system for field-based mineral resource survey by Mingguo Wang, Chengbin Wang, Jianguo Chen, Bo Wang, Wei Wang, Xiaogang Ma, Jiangtao Ren, Zichen Li, Yicai Ye, Jiakai Zhang, Yue Wang

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Characteristics of gut and lung microbiota in patients with lung masses and their relationship with clinical features by Yanping Yang, Jiacheng Shen, Sulan Wei, Maosong Ye, Xing Zhao, Jian Zhou, Lin Tong, Jie Hu, Yuanlin Song, Shengdi Wu, Nuo Xu

“…The diagnostic models were constructed using microbial features identified through two approaches: random forest algorithm with five-fold cross-validation and comparative analysis of significantly differential taxa. …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The ML-based automated algorithm quantified CAR-T IS data correlates with the clinical responder and non-responder treated with Kappa-CAR-T cells directly from patients. …”
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Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights. by Jincan Li, Shengyue Wang

“…Drug sensitivity was predicted using the pRRophetic algorithm with GDSC database reference.…”
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Cross-talk of m6A methylation modification and the tumor microenvironment composition in esophageal cancer by Pan Song, Jinmao Ye, Haiyang Zhang, Yishu Li, Ruizhi Cao, Yang Feng, Lei Zhang, Min Sun, Min Sun

“…Single-cell RNA sequencing (scRNA-seq) and a consensus clustering algorithm was employed to classify m6A modification patterns and analyze their relationships with immune cell infiltration and clinical outcomes. …”
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Identification of lipid metabolism related immune markers in atherosclerosis through machine learning and experimental analysis by Hang Chen, Biao Wu, Biao Wu, Kunyu Guan, Liang Chen, Kangjie Chai, Maoji Ying, Dazhi Li, Weicheng Zhao

“…Additionally, the ssGSEA algorithm further validated the association of these diagnostic genes with various immune cells. …”
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