How can we bring fact-based knowledge and language together in AI applications for drug discovery?
26 Sep 2024
Monterey
Data Quality
- 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?