MCP for Pharma R&D: Integrating Omics & Pathway Databases into Proprietary AI Environments

What if you could bring the world’s largest multi-omics and pathway database directly into your proprietary AI environment to accelerate pharma R&D?

Join us for our upcoming webinar to explore how MCP (Model Context Protocol) connects large-scale biological data with AI-driven workflows, while keeping expert biologists at the center of research and decision-making.

We’ll explore how this integration can support target discovery and streamline pharma R&D, powered by:

• 300M+ cell profiles across a growing multi-omics database

• 260K pathways to support biological interpretation and discovery

• Multi-omics data spanning DNA, RNA, protein, metabolomic, and epigenomic levels

• Multi-modal datasets covering single-cell, bulk, spatial transcriptomics, and imaging

• Proprietary data generation to bring internal research data into the workflow

Discover how MCP can bridge biological knowledge, proprietary data, and AI-powered research, while enabling expert biologists to focus on what matters most: interpreting evidence and driving scientific discovery.

Speaker: Tristan Gill — CEO, Pythia BioSciences

Guest speakers and roundtable discussion participants will be announced soon. Stay tuned!

Date and time: 9 AM PST | 12 PM EST | 5 PM GMT | 6 PM CET, Tuesday, November 17, 2026

Registration link: https://www.pythiabio.com/event-details-registration/integrating-multi-omics-pathway-databases-into-proprietary-ai-environments-while-optimizing-expert-biologists-roles-1/form