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AI has applications in drug discovery and personalized medicine for tasks such as drug screening, target identification, pharmacogenomics, and patient stratification. AI-driven approaches such as virtual screening, molecular docking, and deep learning-based drug design enable more efficient and targeted drug development pipelines, leading to the discovery of novel therapeutics and personalized treatment regimens tailored to individual patients’ genetic profiles and medical histories.