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🔄 Overview This event is not a new session, but a restructured and integrated webinar that unites two previously scheduled events in the Agentic AI series: 1. Agentic AI–Powered Partnership Co-Pilot Frameworks for Transforming Pharma and Hospital Innovation 2. Agentic AI–Powered Licensing Framework for Re-Architecting Biopharma Deal-Making This integrated webinar presents two complementary systems that complete the innovation-to-commercialization continuum: Part I: Partnership Framework — enabling intelligent coordination across clinical, hospital, and research collaborations. Part II: Licensing Framework — powering autonomous IP valuation, deal structuring, and alliance governance. 🗓️ Agenda Part I 1. New Era of Collaboration in BioPharma and Healthcare Gain a panoramic view of how AI, federated data, and digital twins are reshaping collaboration between pharma, biotech, and hospitals — bridging R&D and care delivery into a unified innovation network. 2. Agentic AI Partnership Framework Discover how Discovery, Partner Intelligence, Governance, and Learning Agents autonomously coordinate multi-stakeholder clinical and R&D partnerships — replacing manual coordination with explainable automation. 3. Use Cases in Action – Pharma × Hospital Co-Development Explore real-world examples such as AI-assisted oncology trials, telehealth-driven cardiology studies, and adaptive immunology platforms — demonstrating how Agentic AI accelerates partner selection, regulatory alignment, and performance optimization. Part II 4. From Negotiation to Cognition – Intelligent Licensing for the AI Era See how autonomous agents manage the entire licensing lifecycle — from asset scouting and valuation to term-sheet drafting and post-deal monitoring — ensuring every decision is traceable, auditable, and bias-resistant. 5. Strategic Use Cases and Market Impact Review key licensing examples that prove measurable gains in valuation precision, negotiation speed, and compliance reliability: 6. PoC Live Demos – Partnership & Licensing Frameworks in Action