INTERACTIVE PANEL DISCUSSION

09:00 Optimizing End-to-End Clinical Trial Supply Chains in a Decentralized Trial Environment

This panel explores how decentralized and hybrid clinical trial models are reshaping supply chain strategies, emphasizing the need to manage global logistics complexity, ensure temperature-controlled distribution for sensitive therapies, and leverage digital platforms for real-time visibility. It also highlights solutions for last-mile delivery to remote patients, improved integration between clinical and supply chain teams, and balancing cost efficiency with regulatory compliance and patient-centric approaches.

Discussion Topics:

• Managing logistics complexity introduced by decentralized and hybrid clinical trial models across regions

• Ensuring temperature-controlled distribution for biologics and advanced therapy medicinal products globally

• Leveraging digital platforms for real-time supply chain visibility and proactive risk mitigation

• Addressing last-mile delivery challenges to patients participating remotely in clinical trials

• Integrating clinical operations and supply chain teams for synchronized trial execution

• Balancing cost efficiency while maintaining compliance and patient-centric delivery strategies

FROM SILOS TO SYNERGY

10:30 Transforming Clinical Trial Execution Through Integrated Supply Chain and Operations, Shared Data Platforms, and Cross-Functional Governance

This talk explores how integrating clinical trial supply chain planning with clinical operations can significantly improve execution and outcomes. It highlights the importance of strengthening communication between traditionally siloed teams and leveraging shared data platforms to enable synchronized planning and real-time decision-making. Attendees will learn practical approaches to reducing delays caused by misalignment between operational and supply activities, while implementing cross-functional governance structures that support faster, more informed decisions. The session also examines how to measure the impact of this integration on trial timelines, efficiency, and overall success rates, offering actionable insights for organizations aiming to modernize and streamline their clinical trial processes.

10:55 Questions & Discussion

11:00 Morning Break

INTERACTIVE PANEL DISCUSSION

11:30 Leveraging Artificial Intelligence and Predictive Analytics in Clinical Supply Chain Forecasting

This panel explores how artificial intelligence and predictive analytics are transforming clinical supply chain forecasting. Experts will discuss leveraging machine learning to enhance demand accuracy, integrating historical and real-time data for adaptive planning, minimizing waste through optimized inventory and expiry management, and accelerating decisions via automated analytics. The session also addresses data quality challenges and ensuring AI-driven outputs remain aligned with regulatory and compliance standards.

Discussion Topics:

• Applying machine learning models to improve demand forecasting accuracy across clinical trial phases

• Integrating historical trial data with real-time inputs for dynamic supply planning adjustments

• Reducing waste through optimized inventory levels and expiry management using predictive insights

• Enhancing decision-making speed through automated analytics dashboards and reporting tools

• Addressing data quality challenges that impact predictive model performance and reliability

• Aligning AI-driven forecasting outputs with regulatory and quality compliance requirements

13:00 Lunch Break