3 papers
cs.MA2025
Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
Yao Fehlis, Charles Crain, Aidan Jensen +9
Building on the conceptual framework presented in our previous work on agentic AI for pharmaceutical research, this paper provides a comprehensive technical analysis of Tippy's mul…
cs.SE2025
Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle
Yao Fehlis, Charles Crain, Aidan Jensen +9
The pharmaceutical industry faces unprecedented challenges in drug discovery, with traditional approaches struggling to meet modern therapeutic development demands. This paper intr…
cs.SE2025
Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs
Yao Fehlis, Paul Mandel, Charles Crain +2
Self-driving labs are transforming drug discovery by enabling automated, AI-guided experimentation, but they face challenges in orchestrating complex workflows, integrating diverse…