AI for Drug Discovery: Accelerating the Development of New Medicines
Abstract
Traditional drug discovery processes are time-consuming and expensive. This paper discusses how AI techniques, such as deep learning and reinforcement learning, are revolutionizing drug discovery. We explore methods for virtual screening, molecular generation, and optimization of drug candidates, as well as the challenges of generalization and interpretability in AI-driven drug design.
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