Generative AI pharma frontier: charting a responsible course for clinical breakthroughs
Use Case
AI Application
09/02/2024 | 10h50 - 11h15 | Applications Stage
Information
- The rapid evolution of generative AI is poised to revolutionize the pharmaceutical industry by offering unprecedented opportunities for clinical innovation.
- This presentation will explore the cutting-edge applications of generative AI within the highly regulated landscape of pharmaceuticals, illuminating the potential benefits for patient care while conscientiously addressing the challenges of compliance and ethical standards.
- At the heart of this discussion lies Novo Nordisk's pioneering work in constructing a multi-modal clinical data platform designed for the secondary use of data.
- This platform is particularly crucial for the cultivation of high-quality datasets that are integral to the success of generative AI. This endeavor underscores the limitations of Large Language Models (LLMs) in deriving clinical insights and the necessity for more advanced AI tools.
- The presentation will introduce the concept of AI agents—intelligent systems equipped with the capabilities of planning, utilizing tools, and accessing memory.
- Combining multiple specialized agents isinstrumental in guiding users through complex data, unveiling novel patterns, and propelling research and development forward.
- Moreover, the session will highlight the crucial role AI agents play in bridging the data literacy gap among teams within the pharmaceutical sector.
- By facilitating a deeper understanding of data, these agents empower professionals across disciplines to collaborate more effectively and make strides towards transformative healthcare solutions.
- Attendees will gain valuable perspectives on how to responsibly harness the power of generative AI to accelerate clinical breakthroughs, ensuring that ethical considerations and regulatory requirements are met.
- With its intricate 'language' of DNA, amino acids, cytokine interactions, and cellular signaling, biology offers a rich and complex dataset for AI to interpret, promising a new era of discovery in the way we understand and interact with the very building blocks of life.
