Speaker Profile
Ph.D., EVP Medical Strategy, Klick Health
Biography
As a medical strategy lead at Klick, Jorge oversees and ensures clinical and scientific relevance across communications and tactics that strategically influence shifts in beliefs and behavior, and move the market landscape. For over 17 years, Jorge has worked in healthcare brands in the US and global markets, across a wide range of therapeutic areas, including rare disease and oncology. Jorge has also led a diverse array of initiatives engaging with thought leaders, patients and caregivers, and patient advocate organizations. Since joining Klick in 2017, Jorge has helped expand their portfolio, as well as our medical strategy team from 3 strategists to currently over 30. Jorge is particularly passionate about bringing forward novel perspectives on the science of a molecule, current clinical practice and market dynamics, especially in brands that have a significant impact on patients lives.
Talk
AI-augmented everyday clinical practice -how close are we?
AI is transforming diagnostics, clinical operations, and decision support by improving accuracy, speed, and consistency. Yet clinical context keeps evolvingshaping how we map biology, reveal disease mechanisms, and accelerate target and biomarker discovery. Ultimately, AIML will fulfill their promise only with rigorous validation, strong governance, and active bias mitigation to ensure safe, equitable, responsible care.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
William Oh, Yale
PMWC Award Ceremony
• Nigam Shah, Stanford
• Thomas Fuchs, Lilly
Keynote: Responsible AI in Healthcare: From RWE to Agentic Systems
• Nigam Shah, Stanford
Keynote: Scaling Trusted AI: From Computational Pathology to Next-Gen Medicines
• Thomas Fuchs, Lilly
Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly
From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Nadia Poluhina, Mayo Clinic
• Kate Estep, Flatiron Health
• Alyssa Pybus, Moffitt Cancer Center
• Julie Stein Deutsch, Johns Hopkins
• Jeremy Jones, Mayo Clinic
Predicting Outcomes: An AI Model Trained on RWE for Precision Care
• Rich Gliklich, OM1
AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche
Keynote: AI for CDS-From Models to Bedside
• Zachary Ziegler, OpenEvidence
Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Karan Singhal, OpenAI
• Sina Bari, iMerit Technology
• Shashi Shankar, Novellia
• Hal Paz, Khosla Ventures
• Syed Mohiuddin, Anthropic
Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Vincent Liu, Kaiser
• Richard Milani, Sutter Health
Transforming Transplant Care Through AI: From Predictive Insights to Precision Decisions
• Jing Huang, CareDx
AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP health
Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Durand, Klick Health
From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Phil Johnson, Evidation
