Collaborating on Sensitive Medical Data – From Research Friction to Real-World Impact

📅 March 4
⏰ 9:00 AM PST / 12:00 PM EST
Speaker: Rodney Gabriel, Vice Chair of Perioperative Informatics – UC San Diego
Moderator: Adi Hirschtein, VP Product – Duality Technologies

Medical and pharma research has entered a new phase. The most meaningful breakthroughs increasingly require collaboration across institutions, geographies, and data environments. Yet the very data that enables progress, clinical, perioperative, genomic, outcomes-based, is also the most protected, regulated, and operationally complex.

In practice, collaboration often stalls long before the science does. Governance reviews stretch for months. Legal agreements multiply. Infrastructure assumptions break down. And teams face a difficult tradeoff between accelerating research and preserving patient trust.

This session brings a practitioner’s perspective to that reality.

Key Takeaways

• Why multi-institution collaboration is becoming essential for building clinically meaningful AI models
• Where collaborative research most often stalls including governance reviews, legal complexity, and data access constraints
• How privacy-preserving approaches such as federated learning and secure computation are being applied in real-world medical research
• What these technologies realistically enable today and where limitations still exist
• How to balance patient privacy, regulatory compliance, and model performance without slowing innovation
• Practical guidance for universities, research hospitals, and healthcare consortia structuring cross-institution AI initiatives
• What the next 2–3 years may look like for collaborative medical and pharma AI