
Metrics & Benchmarks
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Agentic RTSM and the Push to Compress Clinical Trial Startup: Q&A with Robert Hummel, Suvoda

Why Data Quality Can No Longer Wait for Milestones

ACT Brief: Data Pipeline Fragmentation, Vaccine Trial Pressures, and BTK Degrader Partnership

Accelerating patient recruitment: Connecting the right patients to the right trial

6 Ways Lab Data Can Improve Clinical Trials

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As the clinical research landscape evolves, decentralized clinical trials (DCTs) have emerged as a foundational competency, enabling broader patient participation, increasing trial efficiency, and driving more inclusive, real-world data collection. However, the successful execution of DCTs requires more than just innovative technology—it demands a comprehensive strategy that addresses the unique challenges of decentralization.

Download the case study and learn how Quest Diagnostics and PatientsLikeMe helped accelerate recruitment and enrollment for a struggling study.

In this video interview, Raj Indupuri, CEO and co-founder of eClinical Solutions, explains why the FDA's push toward continuous data review exposes the fragmentation at the heart of current clinical trial infrastructure and what unified data pipelines need to look like to make it possible.

From rising costs and regulatory uncertainty to persistent vaccine hesitancy, sponsors face mounting pressure to standardize operations, build community trust, and develop the behavioral capabilities needed to run vaccine trials effectively in a rapidly shifting environment.

In today's ACT Brief, we examine how cross-asset site partnerships drive data sharing, standardized eCOA templates accelerating vaccine trial startup, and real-world data revealing ovarian cancer disparities.

From planning one Phase III trial at a time to digital standardization on repeat.

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 today's ACT Brief, we examine why site technology fragmentation blocks AI adoption, how agentic orchestrators and lakehouse architectures enable real-time clinical data harmonization, and evidence-based strategies to reduce obesity trial discontinuation.

Patient Engagement Strategies in Anti-Obesity Medication Clinical Trials: Addressing Drop Out Rate and Improving Retention

As clinical trials grow increasingly complex and multi-modal, the pharmaceutical industry is pivoting toward AI-driven agentic orchestrators and lakehouse architectures to untangle disparate data streams, ensure regulatory compliance, and accelerate time-to-insight.

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 today's ACT Brief, we examine AI-enabled site performance in a Sanofi COPD study, why statisticians raising early phase standards matters to the entire development pathway, and a new partnership on RNA exon editing for monogenic kidney disease.

In this Q&A, Sam Hinsley, statistics manager at Phastar, discusses the role statisticians play in raising standards across the clinical development timeline—and why getting early phase decisions right is critical to the entire drug development pathway.

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 today's ACT Brief, we examine AI replacing unreliable feasibility estimates with precise patient matching, three tensions reshaping clinical operations culture, and FDA's first oral post-exposure COVID-19 prevention therapy.






















