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2025 Agenda

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PANEL: How to Optimize Data Strategies & Trends to Improve AI for Drug Discovery?

June 25, 2025
AI in Drug Discovery Stage
  • How can the integration of diverse data sources, such as genomic, clinical, and real-world data, enhance the accuracy and effectiveness of AI models in drug discovery?
  • What are the most significant challenges in ensuring data quality and consistency when using AI in drug discovery, and how can these be overcome to improve model predictions?
  • With the rapid advancements in AI technologies, how do you foresee the role of data privacy and ethical considerations evolving, especially when handling sensitive patient data in drug discovery processes?
Speaker(s)
Elena Dolgikh, Head of Computational Chemistry/AI/ML - Monte Rosa Therapeutics
Emanuele de Rinaldis, Global Head of Target Disease & Systems Biology - Sanofi
Rohit Arora, Innovation Lead - Novo Nordisk Bio Innovation Hub
Charles O'Donnell, Vice President, Head of Computational Genomics and Data Sciences - Omega Therapeutics

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