AI for Founders with Ryan Estes Inside the $50M mission to fix clinical evidence
Oct 8, 2025
48:40
Guest:
Dr. Brigham Hyde, Co-Founder & CEO of Atropos Health
Episode Summary:
In this episode, Ryan Estes interviews Dr. Brigham Hyde to explore how Atropos Health is closing medicine’s “evidence gap” — the staggering reality that only 14% of clinical decisions are based on high-quality evidence. With products like ChatRWD® and GENEVA OS™, Atropos uses generative AI to transform real-world data into validated evidence in minutes, not months.
This discussion is for founders, data scientists, healthcare innovators, and investors who want to understand the intersection of AI, regulation, and scientific rigor in healthcare.
Key Takeaways:
- The 14% Problem: Most clinical decisions lack strong evidence. Atropos aims to fix that with real-world data and AI.
- From Research to Real Time: ChatRWD® generates personalized evidence in minutes.
- Rigor Over Hype: Eliminating AI “hallucinations” in healthcare applications.
- GENEVA OS™ Framework: Automating evidence generation through secure, federated data networks.
- Scaling Trust: Why partnerships with institutions and pharma matter for adoption.
- Global Expansion: Navigating data privacy and regulatory diversity.
- Ethical AI: Building systems that balance speed with safety.
- Investor Perspective: How VCs evaluate AI healthtech startups.
- Leadership Philosophy: Balancing scientific precision with entrepreneurial execution.
- Future Vision: The rise of AI-enabled, evidence-based healthcare systems.
Frameworks Mentioned:
The GENEVA OS™ Model
- Gather – Securely access real-world patient data across networks.
- Evaluate – Apply validated statistical methods using generative AI.
- Normalize – Harmonize data for consistency and comparability.
- Explain – Deliver transparent evidence clinicians can trust.
- Validate – Confirm reproducibility before deployment.
The Atropos “Speed-to-Rigor” Balance
- Automate data analysis pipelines.
- Maintain clinical validation checkpoints.
- Ensure auditability and traceability of outputs.