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Beyond Eligibility: Making Trust and Behavioral Readiness Actionable in Clinical Trial Recruitment

AI-Enabled Systems Medicine: From Digital Promise to Clinical Operating Model

ACT Brief: Simplifying Trials Through Selective Safety Data, AI-Driven Site Partnerships, and Biopharma Strategic Pivots

AI-Enabled Sites and the Future of Trial Planning: Q&A with Liz Beatty, Inato

Could Selective Safety Data Collection Become the Industry's New Default?

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In today's ACT Brief, we examine regulatory partnerships debunking pragmatic trial concerns, how ePRO protocols create informal patient exclusions, and why system design—not patient behavior—drives disengagement.

In this video interview, Rob DiCicco, vice president of portfolio management at TransCelerate Biopharma, discusses how CTTI tabletop exercises are myth-busting perceived risk and why true progress requires partnership across regulators, sponsors, providers, and patients.

When clinical trial teams screen for "tech-savvy, engaged" participants, they're often running a second, unwritten eligibility criterion that systematically excludes the populations the study drug is actually meant to treat.

In this video interview, Rob DiCicco, vice president of portfolio management at TransCelerate Biopharma, explains why scaling pragmatic and decentralized trial approaches, not just piloting them once, is where the real reduction in cost and burden happens.

In today's ACT Brief, we examine quantified reductions in trial visits through selective safety data collection, why protocol failures occur during operational transition, and congressional investigation into pharmaceutical company trials in China.

Protocol assumptions about patients, visit schedules, timelines, and vendors are rarely tested against operational reality until startup, but early engagement of experienced execution strategists can identify and mitigate feasibility gaps before commitments harden into expensive course corrections.

In this video interview, Rob DiCicco, vice president of portfolio management at TransCelerate Biopharma, breaks down CTTI research showing 50 to 75% reductions in visits and assessments using selective safety data collection, and why mature assets make this approach safe to use.

In today's ACT Brief, we examine a major trial retraction and regulatory action against a rare disease drug, regulatory scenarios for selective safety data collection, and FDA's domestic manufacturing incentive program.

In this video interview, Rob DiCicco, vice president of portfolio management at TransCelerate Biopharma, explains how four jointly developed regulatory scenarios give sponsors a blueprint for adopting selective safety data collection with greater confidence and stronger agency alignment.

Regulators on both sides of the Atlantic have taken action against Tavneos after an FDA investigation found patient outcome data was altered and trial personnel were unblinded during the pivotal study that supported the drug's approval.

In today's ACT Brief, we examine what the FDA's real-time oversight initiative demands of sponsors, why clinical data security must be designed in rather than layered on, and how AI is reshaping CDMO workflows and asset value.

The FDA's launch of real-time clinical trial proof-of-concept studies signals a fundamental shift in regulatory oversight, one that most sponsors are not yet equipped to meet and that demands urgent investment in unified data infrastructure, quality-by-design practices, and protocol digitization.

Clinical data security built into system architecture from the foundation, rather than layered on afterward, reduces regulatory risk and actually accelerates research by removing manual compliance burden and improving team confidence in data integrity.

In today's ACT Brief, we recap key themes from DIA 2026 on operational priorities and regulatory shifts, examine infrastructure gaps in continuous data review, and report on EMA support for a new BTK inhibitor strategy.

Sponsored Content
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.






















