Incorporating genotype information in a precise prediction model for platinum sensitivity in epithelial ovarian cancer by Nai-Yi Du, Yan Li, Hui Zheng, Ya-Kun Liu, Lu-Sha Liu, Jianbang Xie, Shan Kang

“…Coefficients of the synergistic effect for each SNP were determined, and an algorithm of the Drug Sensitivity Index (DSI) was built. …”
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Breast Tumor-Like-Masses Segmentation From Scattering Images Obtained With an Ultrahigh-Sensitivity Talbot-Lau Interferometer Using Convolutional Neural Networks by Ionut-Cristian Ciobanu, Nicoleta Safca, Elena Anghel, Dan Popescu

“…Performance was evaluated based on accuracy, precision, specificity, recall, and F1-score. …”
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Predicting the Risk of Preterm Birth Throughout Pregnancy Based on a Novel Transcriptomic Signature by Yang Pan, Yuxin Ran, Dongni Huang, Nanlin Yin, Yanqing Wen, Yan Jiang, Yamin Liu, Hongbo Qi

“…Differential analysis was performed using the DEseq2 and limma algorithms. …”
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Flow cytometry for screening and prioritisation of urine samples: a retrospective comparison with culture by Vicky Sender, John Kerr White, Ludvig Bolinder, Karin Amilon, Mirja Hägg, Karin Haij Bhattarai, Niklas K. Björkström, Baharak Saeedi

“…Results Based on our data, we propose an algorithm using bacterial count from UFC to guide urine culture decisions. …”
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Identification of key genes in membranous nephropathy and non-alcoholic fatty liver disease by bioinformatics and machine learning by Jiachen Fan, Na Li, Yanfang Lu, Huixia Cao

“…A protein-protein interaction (PPI) network was constructed, and key genes associated with both diseases were identified using Cytoscape software and machine learning algorithms. The correlation between immune cell infiltration and the two diseases was evaluated using the CIBERSORT algorithm. …”
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Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis by Jian Du, Tian Zhou, Wei Zhang, Wei Peng

“…Finally, immune cell infiltration analysis was performed using CIBERSORT algorithm to explore the correlation between feature genes and immune cells. …”
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PANoptosis-Relevant Subgroups Predicts Prognosis and Characterizes the Tumour Microenvironment in Ovarian Cancer by Chen Y, Deng Z, Chen J, Lin J, Zou J, Li S, Sun Y

“…CIBERSORT assessed immune cell infiltration by risk score, and a predictive algorithm evaluated chemotherapy responses. Additionally, we investigated the biological role of the key gene CXCL13 in OC and its response to immunotherapy.Results: Based on 19 PRGs, we identified two OC subtypes (PAN-Cluster1, PAN-Cluster2). …”
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Mapping the Research Landscape of Agricultural Sciences by Dmitry Devyatkin, Elena Nechaeva, Roman Suvorov, Ilya Tikhomirov

“…This means that a differentiated approach to research management is critical. …”
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Identification and experimental validation of ulcerative colitis-associated hub genes through integrated WGCNA and lysosomal autophagy analysis by Yuanpei Zhao, Yijun Li, Qingwen Xu, Lili Ding, Weiming Li, Qinghua Zou, Yichen Hu, Kaiwen Shi, Hongyuan Liu

“…Immune cell infiltration of these gene sets was evaluated using the CIBERSORT algorithm. Lysophagy-related genes set were retrieved from the GeneCards database. …”
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Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues by Giuseppe Pasculli, Marco Virgolin, Puja Myles, Anna Vidovszky, Charles Fisher, Elisabetta Biasin, Miranda Mourby, Francesco Pappalardo, Saverio D'Amico, Mario Torchia, Alexander Chebykin, Vincenzo Carbone, Luca Emili, Daniel Roeshammar

“…ABSTRACT With the recent and evolving regulatory frameworks regarding the usage of Artificial Intelligence (AI) in both drug and medical device development, the differentiation between data derived from observed (‘true’ or ‘real’) sources and artificial data obtained using process‐driven and/or (data‐driven) algorithmic processes is emerging as a critical consideration in clinical research and regulatory discourse. …”
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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 Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis by Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jing Feng, Jennie Si, He Huang

“…Emerging automatic tuning algorithms have shown promise to ease the device personalization procedure. …”
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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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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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Identification and mechanism analysis of biomarkers related to butyrate metabolism in COVID-19 patients by Wenchao Zhou, Hui Li, Juan Zhang, Changsheng Liu, Dan Liu, Xupeng Chen, Jing Ouyang, Tian Zeng, Shuang Peng, Fan Ouyang, Yunzhu Long, Yukun Li

“…Six machine learning algorithms were employed to determine the best model for identifying biomarkers, and receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of the biomarkers in COVID-19. …”
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An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors by Di Cao, Cheng Wang, Haibo Liu, Su Zhang, Meng Du, Pu Wang, Sheng Nie, Sijin Cheng

“…The method was evaluated on nine datasets spanning 80.32 km, covering voltage levels of 220 kV, 500 kV, and 800 kV. …”
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ImmuProgML: machine learning-based dissection of cancer-immune dynamics during tumor progression to improve immunotherapy by Hanxiao Zhou, Lan Mei, Qianyi Lu, Yakun Zhang, Yue Sun, Caiyu Zhang, Han Jiang, Jiajun Zhou, Xia Li, Yunpeng Zhang, Shangwei Ning

“…By introducing the DNEX score, an integrative metric combining differential expression and network analysis, ImmuProgML evaluated gene immunomodulation activity during tumor progression and identified immunotherapy targets. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Methods: The high-throughput sequencing data was downloaded from the TARGET database and performed the ESTIMATE algorithm. Metastasis-related information was obtained from the GSE21257 dataset. …”
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Impacts of air fraction increase on Arctic sea ice density, freeboard, and thickness estimation during the melt season by E. Salganik, O. Crabeck, O. Crabeck, N. Fuchs, N. Hutter, N. Hutter, P. Anhaus, P. Anhaus, J. C. Landy

“…This increase in air volume substantially affected FYI density and freeboard. Due to differences in sea ice thermodynamic state (such as salinity and temperature), the air volume expansion is less pronounced in second-year ice (SYI) and has a smaller impact on the density evolution of SYI and ridges. …”
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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

“…Utilizing texts from Weibo, a mainstream social media platform in China, as data sources, this study used machine learning and artificial intelligence algorithms to collect Weibo text data throughout the drought progression process. …”
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