From deciphering biological codes to connecting genomics, proteomics, and clinical data, AI is redefining how molecular biology is done. The Keystone Symposia: AI in Molecular Biology brings together experts in foundation models for biology, domain-specific AI approaches, and uncovering patterns in large-scale biological data - where breakthrough ideas meet the real-world challenges of biomedical research.

At Elucidata, we help research teams transform messy, complex biomedical data into AI-ready datasets that power discovery. Our work spans multi-agent AI for metadata curation, LLM-powered literature mining, and multi-omics integration - all underpinned by a deep focus on having high quality data for downstream AI applications. The symposium’s themes align directly with our mission -tackling the hardest data challenges in life sciences with AI.

Swetabh Pathak, our Co-founder & CTO, will be on-site to share ideas, discuss and explore new collaborations. If you’re tackling FAIR data challenges, building AI-driven workflows, or just curious about what’s next for AI in life sciences, come find us.