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Warfarin

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Predictors of warfarin therapeutic dose across thromboembolic indications: an exploratory early clinical evaluation study using machine learning-integrated explainable artificial intelligence and Bayesian models.
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The Global Compatibility Index (GCI): A Variance-Weighted Pharmacogenomic Scoring System Demonstrates Near-Perfect Cross-Mode Consistency (ICC = 0.994) and Improves Warfarin Dose Prediction Over the CPIC Algorithm in 5,475 Patients Across Four Continents, with Multi-Drug Validation Across 10 Independent Datasets
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Comparable Outcomes Using Low-Dose Apixaban and Anti-Xa Monitoring and Vitamin-K Antagonists in Patients with Renal Replacement Therapy
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The Extent of Patient’s Satisfaction Regarding Inhaler Counselling in the Kingdom of Saudi Arabia – A Cross-sectional Study
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Tuberous sclerosis and primary antiphospholipid syndrome.
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Improving Genotype Imputation in High-Dimensional Pharmacogenomics Using Multiple Imputation: Evaluation with Machine Learning Approaches.
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