4 citations · 4 across the 2 of their papers we have counts for
4 papers
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…
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…
Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents
Yao Fehlis
Scientific laboratories, particularly those in pharmaceutical and biotechnology companies, encounter significant challenges in optimizing workflows due to the complexity and volume…
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…