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17141
Characterization of Cuproptosis-Related LncRNAs Prognostic Signature and Identification of LINC02285 as a Novel Biomarker for Ovarian Cancer
Published 2025-06-01“…ROC curve analysis further validated the predictive capacity of the signature. Additionally, the low-risk group had a favorable prognosis associated with a protective immune microenvironment and a better response to targeted drugs. …”
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17142
Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery
Published 2025-07-01“…Both datasets were pre-processed with multiple data transformation algorithms and 2D correlograms, PLSR and the Random Forest regressor were tested to identify the best model for salinity detection. …”
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17143
Emerging Diagnostic Approaches for Musculoskeletal Disorders: Advances in Imaging, Biomarkers, and Clinical Assessment
Published 2025-06-01“…Artificial intelligence and machine learning algorithms now automate image interpretation, predict clinical outcomes, and enhance clinical decision support, complementing conventional clinical evaluations. …”
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17144
MicroRNA-125a-5p plays a role as a tumor suppressor in lung carcinoma cells by directly targeting STAT3
Published 2017-05-01“…The downregulation of miR-125a-5p provided very contrasting results. Computational algorithms predicted that the STAT3 is a target of miR-125a-5p. …”
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17145
Role of ARRB1 in prognosis and immunotherapy: A Pan-Cancer analysis
Published 2022-09-01“…ESTIMATE and CIBERSORT algorithms were performed to assess immune infiltration. …”
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17146
To reveal biomarkers related to macrophage and lactic acid metabolism in renal fibrosis and explore their mechanisms
Published 2025-07-01“…Subsequently, candidate genes were incorporated into machine learning algorithms to identify key feature genes associated with RF. …”
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17147
Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies
Published 2025-02-01“…As a subset of artificial intelligence, machine learning algorithms create a mathematical model based on sample data or "training data" in order to predict or make decisions without overt planning (Du et al., 2019). …”
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17148
Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms
Published 2024-11-01“…Rice yield estimation technology is mainly used to predict yield by combining multi-source data and algorithms, but there are still problems such as the difficulty of integrating multi-source data, which requires further research. …”
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17149
Modeling Habitat Suitability of Anser Anser in Iran
Published 2021-02-01“…The findings from evaluating the algorithms used in modeling the habitat types of the Anser anser species reveal that the biomod software package has a high ability to predict the optimal habitats of this species. …”
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17150
Effect of tool angle in nanocutting of single crystal GaN using diamond cutter
Published 2025-06-01“…This directly supports the simulation predictions regarding the detrimental effects of highly negative rake angles. …”
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17151
Lessons from the PROTECT-CH COVID-19 platform trial in care homes
Published 2025-04-01“…Results We initiated the trial including protocol, approvals, insurance, website, database, data algorithms, intervention selection and training materials. …”
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