
The Semantic Layer for Life-
Science AI: Building Agents and Apps on the Amass API
About Event
Every biologist is about to have an agent. But the moment that agent needs to actually know something: the trials for a target, the papers behind an MoA, the regulatory precedent for an indication. Falling back to scraping PubMed, parsing ClinicalTrials.gov, and stitching identifiers together by hand is not good enough and where most life-science AI projects die.
Join Bioinformatics & AI XChange for a hands-on, demonstration-focused session with Alexander Junge, Co-founder and CTO at Amass.
Alexander will introduce Amass, a unified API integrating biomedical publications, clinical trials, regulatory documents, therapeutic molecules, and gene targets. The session covers how to build life-science AI agents that access structured, cross-linked biomedical knowledge through a single API.
What Will Be Covered
- Why structure and cross-linking across data types are impotant in life-science AI projects
- A live tour of the API across publications, clinical trials, and gene targets
- How to connect Amass to an AI agent (Claude, ChatGPT, or your own) via MCP
- How to go from a research question to a working app using Claude Code
- An honest look at what works well today, what’s still hard, and whats coming soon
The session runs approximately 40 minutes, followed by 20 minutes of Q&A.
About Bioinformatics & AI XChange
Bioinformatics & AI XChange is a volunteer-run virtual meetup for those across industry and academia.