This paper provides a comprehensive analysis of machine learning (ML) and artificial intelligence (AI) methodologies used to predict drug-drug interactions (DDIs). It explains that traditional experimental methods for identifying these interactions are often too slow and expensive to keep pace with modern pharmacology. To solve this, researchers utilize biomedical databases and computational model...去小宇宙查看完整单集简介
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