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As clinical trials grow more global and complex, AI is emerging as a practical enabler of smarter financial management by automating manual processes, improving visibility across fragmented systems, and helping sponsors, CROs, and sites reduce delays, errors, and operational friction.

Jeremy Wyatt, CEO, Ametris, discusses how operational best practices for integrating wearables into oncology trials center on minimizing patient burden through thoughtful workflow design, careful device selection, and early planning to ensure digital measures fit the realities of complex patient populations.

Charlie Paterson, partner at PA Consulting, explains how mixed signals on FDA risk tolerance are accelerating the globalization of clinical trial programs and reshaping how sponsors align development activities worldwide.

Industry leaders emphasized that accelerating clinical research must go hand in hand with sustained, community-driven strategies to advance diversity, equity, and inclusion in clinical trials.

Miriam Dervan, founder & CEO of mdgroup, explains how treating patient experience as a strategic investment—rather than a secondary consideration—changes how sponsors, sites, and operational teams design and deliver clinical trials.

Mike Wenger, chief innovation officer at CRIO, discusses how different site types—from academic medical centers to independent research sites—require distinct eSource approaches, and why aligning technology with site workflows is critical to study execution.

Industry leaders explore areas of opportunity for acceleration as well as how early-phase planning, technology, and collaboration can keep moving the clinical ecosystem forward.

Ken Getz of Tufts CSDD and Eliav Barr of Merck discuss how efficiency, public trust, and AI all fit into the current state of clinical research.

Holly Leslie, vice president of services at Ledger Run, explains why site selectivity is not yet universal, but increasingly driven by larger, more sophisticated sites that are demanding stronger remuneration policies and greater leverage in sponsor relationships.

Raja Shankar, VP of machine learning at IQVIA, explains how AI-driven trial simulation and automation are beginning to influence decision-making across every phase of clinical development.

Charlie Paterson, partner at PA Consulting, describes how FDA capacity constraints are creating uncertainty from initial submissions through late-stage approval, elongating timelines and influencing global development strategies.

Today's biopharmaceutical landscape demands a fundamental rethinking of outsourcing approaches that embrace collaboration, flexibility, and teams willing to meet halfway.

When a single pivotal trial can determine the fate of an entire program, success depends less on marginal gains in speed or cost and more on building robust, adaptive trial designs that actively manage uncertainty and protect the probability of a positive outcome.