Advancing the Science of Medical AI
We invite university professors, PhD students, and researchers to join us in defining the future of multi-agent healthcare systems.
Current Research Tracks
Key areas where we are actively seeking academic collaboration.
Deterministic Guardrails
Developing formal verification methods for safety boundaries in generative medical agents. How can we mathematically guarantee "do no harm"?
Multi-Agent Hallucination Reduction
Investigating consensus mechanisms between specialized agents (e.g., Medical Info vs. Medication Agent) to cross-verify facts and reduce error rates.
Bias Detection in Medical Corpora
Analyzing open medical datasets for demographic and socioeconomic bias, and developing mitigation strategies for agent training.
Human-Agent Teaming
Studying the cognitive load and trust dynamics in clinical settings when nurses and doctors interact with AI agent teams.
Collaboration Opportunities
Partner with us to accelerate your research.
Joint White Papers
Co-author foundational papers on architecture, safety, and clinical outcomes. We provide the data; you provide the rigorous analysis.
Clinical Validation
Access our simulated patient environment to run large-scale validation studies for your own agent models.
Grant Partnerships
Collaborate with OHA on NIH/NSF grant proposals focused on open-source healthcare AI infrastructure.