Editorial Videos

Jonathan Andrus, co-CEO of CRIO, discusses how increased reliance on site-based technologies and eSource is strengthening data quality, compliance, and trust at the point of patient encounter.

Angela Zubel, chief development officer, Debiopharm, emphasizes that organizations willing to standardize data and adopt practical AI tools are already gaining efficiency, cost savings, and stronger real-time oversight across development programs.

Angela Zubel, chief development officer, Debiopharm, outlines how predictive models are improving compound selection from early clinical phases, while noting the ongoing challenges of forecasting success from preclinical development to patient outcomes.

Angela Zubel, chief development officer, Debiopharm, explains how AI-enabled site selection, patient allocation, and real-time data monitoring can reduce costs, shorten timelines, and limit inefficiencies caused by non-performing sites.

Angela Zubel, chief development officer, Debiopharm, discusses why 2026 marks a shift from AI pilots to broader operational implementation across clinical trials and drug development programs.

Miriam Dervan, founder & CEO of mdgroup, discusses how patient-centered strategies rooted in empathy and advocacy engagement can strengthen recruitment, retention, and overall trial execution.

Jeremy Wyatt, CEO, Ametris, explains how digital endpoints improve trial sensitivity, patient centricity, and efficiency through continuous real-world data, and why early regulatory collaboration is essential to reducing adoption risk and establishing consistent validation standards across programs.

Mike Wenger, chief innovation officer at CRIO, explains how AI can responsibly support data quality and monitoring with proper oversight, and why advancing eSource and EHR systems remains critical to strengthening data integrity and remote trial operations.

Holly Leslie, vice president of services at Ledger Run, discusses how persistent payment friction, increasing administrative burden from AI-generated queries, and lack of sponsor accountability are pushing sites to become more selective—favoring sponsors that pay transparently, reduce operational strain, and treat site experience with the same rigor as patient recruitment.

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.

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.

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.

Charlie Paterson, partner at PA Consulting, outlines how limited FDA guidance on innovative designs, decentralized models, and digital endpoints is forcing clinical operations teams to recalibrate expectations and minimize regulatory risk.

Charlie Paterson, partner at PA Consulting, discusses how fewer new guidance updates are pushing sponsors to rely on historical precedents and non-US standards when making trial design and operational decisions.

Charlie Paterson, partner at PA Consulting, explains how reduced FDA capacity and staff turnover have led to longer regulatory timelines, increased preparation for agency interactions, and delayed feedback during early trial planning.

See how real-world evidence is enabling smaller, smarter, and more efficient trial designs through hybrid models, external comparators, and continuous patient monitoring—while preserving the role of traditional clinical trials.

Assess the data quality, linkage, transparency, and auditability challenges that sponsors must overcome to make de-identified real-world evidence fit for regulatory submissions.

Understand where real-world evidence most effectively complements or substitutes traditional trial data, from post-market surveillance and label expansion to challenging areas such as rare disease research.

Explore how large-scale, de-identified real-world datasets enable more representative trial design, improve site selection, and support patient identification beyond the limits of traditional clinical study populations.

Examine how the FDA’s acceptance of de-identified real-world evidence shifts clinical operations workflows and why understanding the difference between pseudonymized and anonymized data is now critical for privacy, compliance, and evidence generation.

Consider how sponsor and CRO practices that prioritize site needs, clarity, and partnership can strengthen trust, sustain momentum, and speed activation without sacrificing the human experience.

Analyze the operational pressures driving longer activation timelines, from protocol complexity to site competition, and learn how earlier, more flexible site engagement can restore momentum.

Examine how practical AI applications can streamline contracts and startup workflows while preserving the central role of investigators, site staff, and patient relationships in clinical research.

See what will distinguish sponsors that scale AI into core operations from those stuck in experimentation, and why redesigning underlying processes—not just optimizing workflows—is critical to realizing long-term value.

Examine the strategies community research sites can use to secure trial opportunities, from adopting AI-enabled workflows to proving verified access to underrepresented patient populations.

Learn how real-time patient eligibility data is reshaping trial planning and site selection, allowing sponsors to design more inclusive studies based on current patient reality rather than past performance.

Unpack how rising competition for the same high-profile sites is slowing startup and enrollment—and what sponsors must change in their site strategies to ensure AI-enabled efficiencies translate into real-world impact.