Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy by Feng Zhang, Chunrui Li, Lulu Zhang

“…A predictive model for HCM was developed through systematic evaluation of 113 combinations of 12 machine-learning algorithms, employing 10-fold cross-validation on training datasets and external validation using an independent cohort (GSE180313).ResultsA total of 271 DEGs were identified, primarily enriched in multiple biological pathways. …”
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A clinical benchmark of public self-supervised pathology foundation models by Gabriele Campanella, Shengjia Chen, Manbir Singh, Ruchika Verma, Silke Muehlstedt, Jennifer Zeng, Aryeh Stock, Matt Croken, Brandon Veremis, Abdulkadir Elmas, Ivan Shujski, Noora Neittaanmäki, Kuan-lin Huang, Ricky Kwan, Jane Houldsworth, Adam J. Schoenfeld, Chad Vanderbilt

“…With the increase in availability of public foundation models of different sizes, trained using different algorithms on different datasets, it becomes important to establish a benchmark to compare the performance of such models on a variety of clinically relevant tasks spanning multiple organs and diseases. …”
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Smart photonic wristband for pulse wave monitoring by Renfei Kuang, Zhuo Wang, Lin Ma, Heng Wang, Qingming Chen, Arnaldo Leal Junior, Santosh Kumar, Xiaoli Li, Carlos Marques, Rui Min

“…Here, we propose a smart photonic wristband for pulse signal monitoring based on speckle pattern analysis with a polymer optical fiber (POF) integrated into a sports wristband. Several different speckle pattern processing algorithms and POFs with different core diameters were evaluated. …”
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Energy dependence of the response of X-ray multimeter for radiation qualities in mammography by Elisabeth Salomon, Peter Homolka, Istvan Csete, Paula Toroi

“…The primary objective is to evaluate the impact of different anode/filter combinations selected in the software on the measurement of air kerma, half-value layer (HVL), and tube voltage. …”
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Signature of pre-pregnancy microbiome in infertile women undergoing frozen embryo transfer with gestational diabetes mellitus by Wenzheng Guan, Tian Zhou, Jiao Jiao, Liwen Xiao, Zhen Wang, Siyuan Liu, Fujie Yan, Fangqing Zhao, Xiuxia Wang

“…Abstract This study aims to evaluate differences in gut microbiota structures between infertile women undergoing frozen embryo transfer (FET) with gestational diabetes mellitus (GDM) and healthy controls (HCs), and to identify potential markers. …”
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Radiomics in pediatric brain tumors: from images to insights by Pranjal Rai, Sabha Ahmed, Abhishek Mahajan

“…Pediatric brain tumors, which differ significantly from adult tumors in biology and imaging appearance, present unique diagnostic and prognostic challenges. …”
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Development and validation of a prognostic staging system for primary plasma cell leukemia by Mengru Tian, Gang An, Weijun Fu, Wenqiang Yan, Lu Li, Chunyan Sun, Zhenyu Li, Lijuan Chen, Aijun Liao, Guangxun Gao, Xiaoqi Qin, Mengyao Li, Chunrui Li, Hua Xue, Li Gao, Yi Wang, Aili He, Fan Zhou, Dongmei Guo, Yujun Dong, Zhihong Fang, Xiaoxia Chu, Jianqing Mi, Chengcheng Fu, Hui Zeng, Shuling Hou, Xiaotao Wang, Hua Wang, Yongqiang Wei, Xinyue Liang, Xingcheng Yi, Yue Sun, Lugui Qiu, Yun Dai, Fengyan Jin

“…Moreover, patients with different stages had highly diverse genomic and transcriptomic aberrations. …”
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MACHINE LEARNING MODELS FOR PERFORMANCE PREDICTION OF YOUNG PLAYERS IN FOOTBALL ACADEMIES – A REVIEW by Armand Florin Bertea, Cezar Honceriu

“…The paper summarizes the different methods of using machine learning algorithms to detect new football talents, based on criteria such as physical, mental and technical qualities.…”
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Improvement of the methods of the estimation of reliability of multifunction corporative telecommunications on base of logician-probabilistic approach by Lozbinev F.Yu., Kolesnik E.V., Gamov A.A.

“…The analysis of principles of building, process of the creation and evolutions of the topological scheme of network is executed. …”
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A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force by Rasha Elstohy, Nevein Aneis, Eman Mounir Ali

“…The manpower dataset considered gender from different regions, ages, and educational levels. The dataset was then trained, tested, and evaluated. …”
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Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols by Hoondong Song, Hanjoo Jang, Jongduk Baek

“…Additionally, for a detailed analysis, we segmented the dataset based on CT dose index (CTDI), X-ray tube potential, and reconstruction algorithms to examine the impact of different scanning protocols on standardization performance.…”
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TOM40 as a prognostic oncogene for oral squamous cell carcinoma prognosis by Lifei Deng, Hong Ran, Dunhui Yang, Zhen Wang, Peng Zhao, Hengjie Huang, Yongjin Wu, Peng Zhang

“…Methods TOM40 expression level in OSCC was evaluated using datasets downloaded from The Cancer Genome Atlas (TCGA), as well as clinical data. …”
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Optimizing Wheat Yields: AI and IoT Techniques for Continuous Agricultural Monitoring by Nandy Manish, Afzal Md

“…The techniques of machine learning is applied to the historical and present data and then the crop performance and potential yield is predicted under different conditions. Using Wheat yield outcomes, the study also evaluates the effectiveness of integration of AI-IoT across different climatic regions. …”
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TKEO-Enhanced Machine Learning for Classification of Bearing Faults in Predictive Maintenance by Xuanbai Yu, Olivier Caspary

“…The effectiveness of TKEO was compared against conventional methods, using the Case Western Reserve University (CWRU) dataset, with vibration data collected from bearings operating under different load conditions. Different data segmentation lengths (2400 and 12,000 samples) were evaluated to assess the impact of segment size on classification accuracy. …”
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The assessment of sports performance by grip pressure using flexible piezoresistive pressure sensors in seven sports events by Kebao Zhang, Beilei Guo, Mingchuan Yang, Yi Jia, Kehu Zhang, Liu Wang

“…Finally, the K-Nearest Neighbor (KNN) of artificial intelligence algorithms is employed to identify differences for 400 strokes of tennis players in interval training session. …”
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Increase of serum pancreatic enzymes during hospitalization for acute heart failure by Marlene A.T. Vijver, Olivier C. Dams, Jozine M. terMaaten, Iris E. Beldhuis, Kevin Damman, Adriaan A. Voors, Robert C. Verdonk, Dirk J. vanVeldhuisen

“…The differences between pancreatic enzymes between timepoints were evaluated using the Friedman test. …”
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Immunoglobulin G N-Glycosylation and Inflammatory Factors: Analysis of Biomarkers for the Diagnosis of Moyamoya Disease by Zan X, Liu C, Wang X, Sun S, Li Z, Zhang W, Sun T, Hao J, Zhang L

“…Through the Lasso algorithm and multivariate logistic regression analysis, we constructed a diagnostic model based on initial glycans and related inflammatory factors to distinguish MMD patients from healthy individuals.Results: After adjusting for potential confounding variables, including age, fasting blood glucose (FBG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), neutrophil count (NEUT), and lymphocyte count (LYM), our study demonstrated significant differences in the characteristics of 6 initial glycans and 16 derived glycans between the MMD cohort and the healthy control group. …”
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Investigating the effects of previous injury on subsequent training loads, physical fitness, and injuries in youth female basketball players by Yuanqi Huang, Shaonan Wang, Changfei Li, Yukun Wang, Zhanshuang Bai, Zhanshuang Bai, Binghao Lv, Yuheng Gui, Zhongjian Wei

“…However, few studies have evaluated whether previous injury influences them. …”
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Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

“…To select the optimal hyperspectral wavelengths for predicting kiwifruit quality, Genetic Algorithm (GA) and Random Frog (RF) methods were employed. …”
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The development of a disruption responsive smart room technology with attendance management system by Jennifer P. Juaneza

“…It outlines the key features of the technology, such as the use of sensors to identify environmental changes, the creation of algorithms to comprehend and react to these changes, and the integration of smart devices to facilitate smooth communication and control. …”
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