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This article discusses the use of artificial intelligence, specifically machine learning and deep learning, in the process of finding and developing novel targeted anti-cancer therapeutics. The authors highlight the potential of AI to speed up and improve this process, and provide a comprehensive overview of the chemical characteristics of validated inhibitors targeting VEGFR proteins for the treatment of cervical cancer.
