Newsletter | February 12, 2026

02.12.26 -- How Can AI Change Computerized System Validation?

How Can AI Change Computerized System Validation?

Learn how AI technologies are changing the landscape of computer system validation (CSV) and what you need to understand about this transformation.

INDUSTRY INSIGHTS

Where ICH E6(R3) Meets AI: Global Insights From SCDM 2025

Global standards and AI are transforming clinical research. Uncover why mastering ICH E6(R3) and risk-based compliance is critical for data integrity and future success.

Clinical Analytics Use Cases For AI

Automating FDA data validation rules and analyzing audit trail data can significantly reduce fraud and predict areas of concern. Discover how these advancements can transform your clinical trials.

GLP‑1 And Obesity Treatment: Outcomes That Matter Beyond Weight

Uncover how wearable technologies are helping advance digital health measures in obesity research and contribute to the development of more effective, sustainable obesity treatments.

The Real Cost In CNS Trials: Rater Drift And Site Readiness

Explore how to build resilience into CNS trial operations with evidence-based frameworks that prioritize human factors alongside digital tools.

Evidence Of An Industry's Readiness To Collaborate

The effort to build a single home for sites to access their trial systems has demonstrated that the industry is ready to forego competitive discourse to deliver benefits to sites and patients.

Recruitment Capabilities Delivering In Today's Trial Landscape

Recruitment demands diverse capabilities — AI, data analytics, stakeholder engagement, operational excellence — to meet complex protocols and deliver high-quality patient enrollment outcomes.

Putting Trial Data Insights Into Action For Your Study

See why sponsors should implement an integrated data monitoring plan and technology solution to ensure data integrity, meet evolving regulatory requirements, and improve trial outcomes.

The Connected Patient In Clinical Trials

Reveal how digital innovation and patient-centric technologies are reshaping clinical trials by improving access, efficiency, and data-driven insights.

SOLUTIONS

De-Risk Randomization With The Endpoint Biostatistical Approach

From Complexity To Clarity: Automate eCOA Configuration With AI

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Starting A New Study? This One's For You