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How can we bring fact-based knowledge and language together in AI applications for drug discovery?

26 Sep 2024
Monterey
Data Quality
How can we bring fact-based knowledge and language together in AI applications for drug discovery?
  • What are the primary challenges and benefits of implementing generative AI in drug discovery processes?
  • What are some current measures to ensure a trustworthy data layer for AI applications? 
  • What are the most promising applications of Generative AI for expediting the process and accuracy of drug discovery?
  • What are the risks of AI-driven applications for the pharma space, such as ensuring results are compliant with legal and regulatory requirements? 
  • Previous experiments with methods such as RAG, NL2SPARQL, graph embeddings and, what the results have been?
Industry Expert
Peter Doerr, Director Presales - Solution Architecture and Strategy - Digital Science