The article discusses the use of AI in the pharmaceutical industry to improve patient outcomes and R&D productivity. It explains different types of AI, potential applications in drug discovery and clinical trials, and the importance of ethical considerations. The article also highlights the need for data standards, improved trial design, and transparency in AI technology. It emphasizes the importance of collaboration and education across the biopharmaceutical ecosystem to harness the benefits of AI while mitigating risks. Overall, the article suggests that by aligning on better patient outcomes, the industry can leverage AI to enhance drug development programs in the future.
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