
Metrics & Benchmarks
Latest News

Inspection Readiness Is Not a Pre-Inspection Activity, It's an Execution Design Condition

Why Site Payment Inconsistency Has Persisted for So Long

ACT Brief: Payment Performance as Operational Brand, Speed and Discipline in Biotech Development Strategy, and Non-GLP-1 Obesity Candidate Licensing

Why Payment Performance Has Become a Competitive Differentiator for Sponsors

Speed, Discipline, and the New Rules of Biotech Development: Q&A with Stella K. Vnook, PhD, Kaida BioPharma and Aviva Ventures

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In today's ACT Brief, we examine the three conditions required for AI-driven trial acceleration to work at scale, why agentic AI will force CRO operating model reckoning, and two major platform collaborations advancing discovery speed.

Agentic AI will put the CRO operating model to the test—and force the efficiency and accountability questions the industry can no longer avoid.

In this video interview, Amber Hill, PhD, founder and CEO of Research Grid, outlines the three conditions required for AI-driven trial acceleration to work at scale: broad AI literacy, shared boundaries around where it can be applied safely, and incremental adoption of purpose-built tools across the entire ecosystem.

In today's ACT Brief, we examine where trial failures actually originate and where AI delivers fastest wins, how CRO consolidation creates global operational scale, and the first FDA-approved treatment for a rare progressive bone disorder.

The acquisition follows Lindus Health's pivot to a therapeutics focus and gives Curavit a unified operational footprint across North America and Europe for decentralized, hybrid, and traditional clinical trials.

In this video interview, Amber Hill, PhD, founder and CEO of Research Grid, explains why most trial failures are fundamentally administrative problems—and why patient sourcing, site feasibility, and back-office data capture are where AI delivers the fastest and most meaningful wins.

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.






















