Core Insights - The article emphasizes the transformative role of AI in drug development, addressing the traditional challenges of high costs, long timelines, and low success rates in the biopharmaceutical industry [1][4][8] Group 1: AI's Impact on Drug Development - AI is changing the drug development landscape by enhancing precision and efficiency, moving from a trial-and-error approach to a more targeted strategy [1][8] - The Zhejiang University Intelligent Innovation Drug Research Institute has successfully identified 12 clinically promising new targets and established a comprehensive AI-driven drug development system [4][6] - AI technologies are significantly reducing the time and cost associated with drug development while increasing the innovation and success rates of candidate drugs [6][8] Group 2: Ecosystem and Collaboration - The Hangzhou Pharmaceutical Port has become a vibrant innovation ecosystem, fostering collaboration between biopharmaceutical companies and research institutions [1][9] - The region has attracted over 1,800 biopharmaceutical enterprises, with a total industry scale exceeding 50 billion yuan, supported by strategic policies and AI model projects [8][10] - The integration of AI in various stages of drug development, from target discovery to clinical trial optimization, is enhancing the overall productivity of the biopharmaceutical sector [8][9]