
Metrics & Benchmarks
Latest News

When the Slack Runs Out: AI and the CRO Operating Model

What Needs to Be True Across Sponsors, Sites, and Regulators for Operation TrialBlazer to Succeed

ACT Brief: Trial Failures as Administrative Problems, CRO Consolidation for Global Trial Reach, and FDA Approval of First FOP Treatment

Curavit Acquires Lindus Health Clinical Research Organization Assets to Expand US and European Trial Operations

Where AI Has the Most Immediate Impact in Phase I Execution

Shorts










Podcasts
Videos
All News

In today's ACT Brief, we examine why AI architecture and ownership matter more than model sophistication in clinical development, how the FDA proposes to regulate generative AI-enabled medical devices, and a new leadership appointment at the agency

A new discussion paper from the FDA's Center for Devices and Radiological Health proposes a two-axis risk framework and competency-based evaluation approach for generative artificial intelligence-enabled medical devices.

In this video interview, Amber Hill, PhD, founder and CEO of Research Grid, makes the case that AI architecture—who built the model, who owns the data, and how outputs are traced—is the most important due diligence sponsors can do before adopting any AI tool in clinical development.

In today's ACT Brief, we examine which Phase I administrative processes are most ripe for AI automation, how sponsors should balance investor demands for real-time data against scientific rigor in capital-constrained trials, and a major CRO's expanded artificial intelligence partnerships.

New collaborations with Causaly, Databricks, and Microsoft anchor a broader push to embed artificial intelligence directly into clinical trial decision-making and operational workflows.

How to generate reliable Phase I evidence in a capital-constrained environment.

In this video interview, Amber Hill, PhD, founder and CEO of Research Grid, identifies the administrative back-office processes causing the most friction in Phase I trials and explains why purpose-built, traceable AI models are the right tool for addressing them.

In today's ACT Brief, we examine what actually drives the 6- to 12-month timeline reductions envisioned under Operation TrialBlazer, why trial modernization requires structural changes in sponsor-site collaboration, and a major biosimilars commercialization partnership.

In this video interview, Amber Hill, PhD, founder and CEO of Research Grid, explains what hitting the 6- to 12-month timeline reductions envisioned under Operation TrialBlazer actually demands operationally—and where AI-native automation can make the biggest difference earliest.

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

In today's ACT Brief, we examine the standardization gap that sits between raw data collection and real-time analysis, why regulatory unpredictability is pushing US biotechs to run early trials overseas, and FDA accelerated approval of a new immunomodulatory therapy.

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.

In today's ACT Brief, we examine why data quality is the ceiling for all other trial modernization efforts, how CRAs are shifting from compliance monitors to data-enabled partners, and recognition of five rising industry leaders shaping pharma innovation.

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.






















