140-Artificial Intelligence in Drug Development
The review article provides a comprehensive overview of the integration of artificial intelligence (AI) across the entire drug development pipeline, which is traditionally costly and time-consuming. It details the application of various AI technologies, including large language models (LLMs) and generative AI, in stages such as target identification, drug discovery, preclinical and clinical studies, and post-market surveillance. The text highlights how AI is being used for complex tasks like virtual screening, de novo molecular design, and predicting ADMET (absorption, distribution…
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