Machine Learning-Driven Exploration of Composition- and Temperature-Dependent Transport and Thermodynamic Properties in LiF-NaF-KF Molten Salts for Nuclear Applications ACS Publications
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Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer Nature
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Identification of Postoperative Weight Loss Trajectories and Development of a Machine Learning-Based Tool for Predicting Malnutrition in Gastric Cancer Patients Frontiers
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The Relationship Between Number of Pregnancies and Serum 25-Hydroxyvitamin D Levels in Women with a Prior Pregnancy: A Cross - Sectional Analysis, Machine Learning - Based Prediction Model, and SHAP - Assisted Feature Importance Evaluation Frontiers
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Tohoku University Researchers Use Machine Learning to Identify Factors Improving Nickel-Based Catalysts for CO Methanation geneonline.com
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