Latest Conference Coverage

In this video interview from the 2026 DIA Global Annual Meeting, Joan Chambers, independent senior consultant at Tufts CSDD, examines the operational challenges sites face when implementing DCT components and makes the case that the industry is still in a learning phase—one the data will ultimately need to guide.

In this video interview from the 2026 DIA Global Annual Meeting, Angie Maurer, VP of AI-enabled clinical development at Medable, describes how digitizing protocols transforms manual amendment workflows into automated, AI-orchestrated processes—and why structured data from the start is the foundation the FDA's continuous review model depends on.

In this video interview from the 2026 DIA Global Annual Meeting, Stacy Hurt, chief patient officer at Parexel, explains how federated AI is expanding what's possible in oncology research, why the patient voice gets lost earliest in development, and why someone in every organization needs to explicitly own patient needs from the very beginning.

In this video interview, Marwan Fathallah, president and CEO of DIA Global, shares the key trends and themes shaping this year's meeting—from AI and regulatory uncertainty to the exploding innovation coming out of the global biotech and medtech ecosystem.

In this video interview from the 2026 DIA Global Annual Meeting, Ittai Dayan, co-founder and CEO of Rhino Federated Computing, explains how data fragmentation limits AI in clinical trials, what federated learning can and cannot solve, and what sponsors actually need to deploy these approaches at speed.

In this video interview from the 2026 DIA Global Annual Meeting, Nick Scott of Biogen and Samantha Hadfield of Thermo Fisher Scientific, explain why mixed FSP models are becoming a strategic tool for sponsors seeking greater agility and how geography and portfolio structure shape the decision.

In this video interview from the 2026 DIA Global Annual Meeting, Joan Chambers, independent senior consultant at Tufts CSDD, explains how the flexibility and accessibility of decentralized trial modalities are expanding patient reach—and why fit-for-purpose deployment is key to making them work.

In this video interview from the 2026 DIA Global Annual Meeting, Angie Maurer, VP of AI-enabled clinical development at Medable, explains the three structural barriers that kept protocol digitization out of reach and why the convergence of LLMs, industry standards, and validated environments has finally changed the equation.

In this video interview from the 2026 DIA Global Annual Meeting, Kevin Bugin, head of global regulatory policy and intelligence at Amgen and executive sponsor of TransCelerate's Embedded Pragmatic Trials initiative, reframes the FDA's continuous review expectations around real-time evidence generation and explains why quality by design—not data cleanup—is what regulators are now demanding.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, makes the case for moving beyond trial-by-trial planning toward cross-asset site partnerships—and explains why sites are three times more likely to share patient data when sponsors make that shift.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, explains why asking sites to use different technology for every sponsor remains a major barrier to AI adoption and what a site-first approach to technology development looks like in practice.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, shares results from a Sanofi COPD study where AI-enabled sites screened patients 33% faster and achieved 100% enrollment success—including one site that had been non-performing for over 100 days.

In this video interview, Liz Beatty, co-founder and chief strategy officer at Inato, explains how AI is replacing unreliable feasibility estimates with precise, real-time patient matching—and what that means for reducing non-enrolling sites and screen failure rates.

In this video interview, Abraham Gutman, founder and CEO of AG Mednet, shares his key takeaways from SCOPE X, including a pointed caution against the idea that agentic AI can run clinical trials autonomously and why process architecture is the real entry point for AI to deliver on its promise.

In this video interview, Abraham Gutman, founder and CEO of AG Mednet, describes how AI can take on rote reasoning tasks like PHI redaction and document QA, and why offloading that work is what gives human experts the clarity to focus on genuine decision making.

In this video interview, Abraham Gutman, founder and CEO of AG Mednet, explains why decades of progress in data capture have not solved the execution problem in clinical trials, and what an operational architecture for AI actually looks like in practice.

In this video interview, Nick Frenzer, general manager of site solutions at Veeva Systems, discusses why eSource has been difficult to implement at scale, how FHIR-based technology is changing that, and what Veeva eSource means for sites, sponsors, and the broader clinical trial ecosystem.

At SCOPE Summit 2026, site leaders shared how AI is transforming feasibility, patient identification, and enrollment strategies, enabling research sites to boost performance, strengthen sponsor relationships, and deliver more precise, patient-centered clinical trials.

Insights from SCOPE 2026 highlight the industry’s shift toward connected, data-centric clinical trial ecosystems, where digital protocols, shared data, and renewed scientific rigor are driving more efficient, interoperable, and patient-focused research.

Across keynotes, panels, and expert interviews, this year’s SCOPE Summit underscored that accelerating clinical research depends on disciplined data strategies, earlier operational planning, and sustained focus on patients, sites, and community trust.

In this interview, Skye Hodson, PhD, of Citeline, explains how longitudinal, patient-level insights across the full care journey are helping sponsors overcome enrollment delays, investigator scarcity, and protocol complexity—transforming strategy into execution-ready deliverables that optimize feasibility, site selection, and measurable recruitment outcomes.

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.

Otis Johnson, PhD, MPA, founder and principal consultant at Vantix Operations, discusses why suppliers must shift from ESG activity to decision-grade evidence, and how embedding sustainability into clinical research quality could reshape sponsor expectations, oversight, and supplier selection in the years ahead.

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to streamline trial workflows and reduce operational burden, while also highlighting emerging applications that could shape the next phase of clinical trial design.

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.