The integration of artificial intelligence (AI) in healthcare has shown immense potential for innovation, particularly in drug discovery for diseases like cancer. However, regulatory frameworks are struggling to keep pace with AI’s rapid advancements. Researchers from Northeastern University have created the AI-enabled Ecosystem for Therapeutics (AI2ET) to bridge this gap. The tool aims to unify existing global regulations and best practices regarding AI in healthcare, addressing the fragmented nature of current guidelines. It promotes a risk-based approach to regulation, focusing on the entire lifecycle of drug development rather than just specific technologies. Jared Auclair, a key researcher, emphasizes the necessity of adapting regulations without stifling beneficial advancements. He warns that overregulation could be more harmful than under-regulation and suggests the establishment of new government agencies specializing in AI oversight. This initiative marks a crucial step toward responsible AI application in healthcare, balancing innovation with patient safety.
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