Leveraging Generative AI for Drug Discovery and Molecular Design in Biomedical Research
Abstract
Generative Artificial Intelligence (AI) is revolutionizing biomedical research, particularly in drug discovery and molecular design. By enhancing predictive modeling, structure-based drug generation, and optimization, generative AI enables faster identification of novel compounds and therapeutic candidates. This paper explores the advancements in generative AI applications, reviews recent literature, and provides insights into its transformative impact on biomedical research. Case studies and examples highlight its utility and future prospects.
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