Archives: Agenda

• Understanding the Pharmacy Card Model
• The Program Lifecycle: From Design to Delivery
• A day in the Life: Sponsors & Sites
• Proof of Performance: Feedback and Case Studies

• How to implement Lean & Six Sigma methodologies to eliminate inefficiencies before attempting to digitalize
• How to optimize and streamline current workflows to ensure AI models automate high-value processes, not bad habits
• How to shift focus from a traditional organizational chart to a dynamic operating model designed to support and deliver AI capabilities

• How to leverage AI forecasting models to stop over-forecasting and overproducing costly investigational drugs, relieving manufacturing pressure without risking trial delays
• How to embed AI into daily workflows to predict trade lane delays, optimize routes based on risk exposure, and flag real-time shipment anomalies using global data signals
• Mitigate friction between rigid manufacturing constraints (long lead times) and volatile clinical trial changes like protocol amendments or rapid global expansion

Reserved vendor

• Break Down the ClinOps-Manufacturing Silo: How to transition from fragmented to a unified, single source of truth that connects real-time trial demand with production capacity
• How to build solid strategies to create a responsive DNOP process that helps you anticipate enrollment volatility, protocol shifts and regulatory delays before your timeline is disrupted!
• Risk vs. Waste Framework: How to structure a real-time cost model that aligns ClinOps, Manufacturing, and Finance on intentional spending to eliminate budget shocks

N-Side

This forward-looking session explores how cybersecurity in financial services will evolve over the next 12–18 months. Drawing on GlobalData’s latest research, it will examine: 

• The adoption and security implications of emerging technologies – including cloud, AI, 5G, IoT, and quantum computing.
• How evolving business models and ecosystems in banking and financial services are reshaping cyber risk.
• The balance between innovation, risk, and operational resilience in an increasingly complex digital environment.

• Effective communication with target patients/families/care professionals and RETAINING them
• How inclusion of AI looks like in this communication, trust building, meeting needs and retaining engagement, from:
• Care researchers’ perspective
• Care Professionals’ perspective, and most importantly,
• Caregivers’ perspective (lived experience and real-world-evidence) in the context of “rare diseases”