
Metrics & Benchmarks
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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

ACT Brief: AI Literacy and Ecosystem Adoption Requirements, CRO Operating Models Under Agentic AI Pressure, and Platform Collaborations in Vaccine and Antibody Discovery

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

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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.

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.






















