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The pilot pairs drug sponsors with qualified research institutions to compress the path from drug identification to first-in-human study through rolling submission review and earlier coordination of institutional review board and site activation activities.
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Biomarker-informed trial enrollment appears straightforward for identifying responders and optimizing efficiency, but failures to account for demographic variation in cut-off selection, causality versus correlation, and composite biomarker complexity risk excluding viable patients and exacerbating disparities.

In this episode of Beyond Compliance, Otis Johnson, PhD, MPA, founder and principal consultant at Vantix Operations, speaks with Joel Stanley, CEO of AJNA BioSciences, about why botanical therapies need pharmaceutical-grade standardization and clinical evidence to earn physician trust and insurance coverage.

Inspection readiness reflects how a program was actually run throughout its lifecycle, not what can be assembled at the end, making pre-submission remediation itself a signal of absent oversight rather than proof of it.

In this Q&A, Stella K. Vnook, PhD, CEO and executive chair of Kaida BioPharma and founder and CEO of Aviva Ventures, discusses how a trifecta of funding pressures is reshaping early-stage clinical development, why commercialization readiness can no longer wait until late-stage, and what a truly strategic lean development model looks like in practice.

Faster, more efficient clinical trials depend on structural alignment in how sponsors, CROs, and research sites plan and execute studies together.

In this Q&A, Raviv Pryluk, PhD, CEO and co-founder of PhaseV, discusses the data standardization bottleneck that sits between raw trial data and real-time analysis, what the FDA's continuous monitoring pilot will require to scale beyond large pharma, and why an ecosystem approach is the only path to making real-time trial oversight a practical reality.

A new survey of 37 US biotechnology executives finds broad preference for conducting first-in-human trials domestically, with regulatory unpredictability and clinical holds cited as the primary drivers of overseas migration.

Clinical research associates are evolving from compliance-focused manual monitors to data-enabled strategic site partners, but organizations need analytics training, clear operating models, and active change management to make the shift stick.

From point-of-care sample collection to real-world data curation, wearable device integration, and continuous review infrastructure, data quality is not a single problem in clinical trials—it is a layered challenge that manifests differently at every stage of development and demands a different set of solutions at each one.

In this episode of Beyond Compliance, Otis Johnson, PhD, MPA, founder and principal consultant at Vantix Operations, speaks with Joseph Kim, Chief Strategy Officer at ProofPilot, and Lauren Briggs, Chief Customer Officer at ProofPilot, about why completing training is not the same as being prepared to execute a protocol.

In this Q&A, Richard Graham, PhD, co-founder and chairman of the board at TruTechnologies, discusses why six decades of manual site-level processes continue to undermine clinical trial execution, what national initiatives like Operation TrialBlazer leave unaddressed, and why meaningful modernization has to start with data collected at the point of care.

Acting CBER director Karim Mikhail outlines the structural barriers slowing Phase I trials in the US and details how the FDA's Expedited IND Pilot is designed to address them.

Real-time AI-enabled decision-making only accelerates development when trials have coordinated operational infrastructure for randomization, supply management, and workflows capable of responding to new insights without disrupting execution or compliance.

Under-enrollment isn't news to teams running oncology trials, and the instinct is to spend more on reach. The evidence, however, says the biggest leak is something else entirely and that most recruitment budgets focus on the least valuable part of the problem.

In this Q&A, Elizabeth Walsh, PMP, ACRP-CP, founder of Walsh Clinical Advisory and co-author of The Clinical Execution Blueprint, discusses the persistent misconceptions about sponsor accountability, why execution gaps originate long before study startup, and what genuine inspection readiness looks like when it is built in from the outset.

Real-world oncology data requires hybrid curation combining clinical expertise with technology to address variability in documentation, missing data, and complex concepts like lines of therapy that are often implicit rather than explicitly recorded in EHRs.

Consumer-grade wearables offer promise for reducing trial burden and improving engagement, but accuracy and reliability vary substantially by device, measurement, and population, requiring rigorous fit-for-purpose validation and careful endpoint selection before integration into regulated research.

As agentic AI, automated data harmonization, and real-time monitoring reshape clinical development, the organizations seeing meaningful results are those that have invested in unified data infrastructure and disciplined governance rather than cycling through pilots without the foundation to scale them.

New documents targeting performance status, washout periods, and laboratory value thresholds aim to close the gap between patients willing to participate in oncology trials and those who actually enroll.

Clinical development operates as an integrated system where dependencies persist across phases and vendors, but treating contracts as execution handoffs creates invisible oversight gaps that surface later as vendor performance problems, timeline slips, or inspection findings.

AI agents operate only within workflows, but most organizations lack unified workflow management systems, making it difficult to identify where agents should be deployed or ensure they integrate effectively across connected business processes in clinical research.

The European Health Data Space reshapes CRO operations by transitioning them from data custodians to regulated users accessing data within secure, auditable environments, enabling cross-border research but requiring substantial investment in compliance, standardization, and methodological rigor.

In this Q&A, Gaynor Anders, chief delivery officer at Trialbee, discusses how the FDA's single pivotal trial shift is raising the stakes on patient recruitment, why the study-by-study model has persisted for so long, and what program-level recruitment actually requires from sponsors in terms of infrastructure, data sharing, and organizational change.

Clinical R&D modernization stalls through incremental optimization of individual workflows, but meaningful systemic change requires leaders to visualize structural relationships, understand hidden incentives, and identify leverage points that benefit the whole system rather than parts.

As the FDA's single-trial standard raises the cost of recruitment failure and diversity expectations intensify, sponsors are under pressure to move beyond study-by-study outreach toward programmatic, relationship-based approaches that treat patient engagement as a long-term strategic capability rather than a per-study operational task.













