Archives: Agenda

• How well‑designed digital measures deliver measurable ROI in clinical trials by reducing missing data, improving statistical power, accelerating timelines, and preventing costly trial rework or failure
• How an end‑to‑end Wearable Sensor CRO delivery model integrates scientific strategy, operational oversight, and analytics to consistently produce regulatory‑ready datasets
• Real‑world case examples showing how proactive compliance monitoring and fit‑for‑purpose algorithms dramatically improve data completeness and statistical power
• The critical role of disease‑specific digital endpoint design versus off‑the‑shelf wearable algorithms in capturing meaningful treatment effects
• Practical guidance for clinical operations and outsourcing teams on reducing sponsor burden while scaling wearable technologies across global trials

• Demonstrating good faith compliance with emerging expectations
• Documenting rationale and regulatory intelligence in trial files
• Engaging with FDA proactively to validate regulatory strategy

• Why be a sponsor of choice in the ever changing landscape
• What we do to elevate our site partnerships
• Always keep pushing through curiosity to drive innovation to ensure the health of our industry

• Abuse Liability & PK Timeline Considerations
• Planned vs. Actual Study Execution Timelines
• Operational Capabilities that Enable Timeline Control

For emerging biotechs and biopharmas, the path from early-phase trials to global development is filled with operational and strategic risk. Increasing protocol complexity, fragmented vendor landscapes, and varying regulatory expectations add layers of uncertainty. In this talk, Adam Marsh will outline key inflection points where risk can be proactively mitigated, from study design through execution and scale-up. Attendees will leave with a clearer framework for reducing execution risk while enabling faster, more confident decision-making.

• What are the biggest barriers preventing patients from enrolling in clinical trials today?
• How can sites and sponsors improve recruitment strategies to reach the right patients faster?
• What role can digital tools, data, and patient engagement play in accelerating enrollment?
• How can collaboration between sponsors, CROs, sites, and patient communities transform recruitment outcomes?

• Full regulatory compliance supported by robust documentation and end‑to‑end traceability
• Complete transparency with no hidden or unexpected costs or fees
• Streamlined management designed to avoid any additional workload for study teams

Concept

Participants work through a real inspection finding scenario using an interactive training approach that combines regulatory requirements, audit observations, and AI-supported decision-making.

Takeaway: Transferable methodology for training teams to prepare for inspections using AI while maintaining audit trail and regulatory compliance.

Artificial intelligence (AI) is transforming R&D procurement from a transactional function into a strategic, data-driven discipline across all industries. As the backbone of clinical business operations, vendor management processes are equally impacted, including onboarding, qualification, risk tracking, and governance. This session will explore how AI-enabled solutions are set to redefine traditional Excel-based workflows, promising efficiency, scalability, and strategic decision-making.

This session will explore:

• How AI transforms R&D procurement from transactional to strategic.
• New trends: Excel-based workflows are being replaced by intelligent automation.
• Vendor onboarding, risk, and governance become data-driven and scalable.
• Procurement shifts from cost control to value creation.