Dr Daniel Jamieson founded Biorelate after supporting the successful identification of drug repurposing opportunities with Pfizer in a groundbreaking project to curate the first-ever knowledge graph to represent the pain interactome. Biorelate provides the most advanced data curation in biopharma, specialising in cause-and-effect data insights and contextual data, curated via best-in-class large language models, AI and NLP; Daniel’s focus remains on helping pioneering biopharma companies in their mission to develop life-saving innovations.
Discover how new agentic artificial intelligence (AI) and large language model (LLM) technologies will enable researchers to get a complete understanding of the regulatory network between biomedical entities from the literature alone. This talk dives into exciting case studies for how new agentic frameworks elevate AI's ability to provide reliable, deep answers to key scientific questions during the drug discovery process, for example when describing mechanistic rationale during target discovery/selection.