Newsletter | July 23, 2026

07.23.26 -- AI, Data Costs, And The Real Barriers To Trial Execution

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ISPOR Asia Pacific Summit 2026

The Asia-Pacific region continues to emerge as a global epicenter of biopharmaceutical growth and health system transformation. Gain practical insights into navigating the intersection of science, policy, and market dynamics, and identify actionable strategies to balance innovation and equitable access across diverse and rapidly evolving health systems.

EDITOR’S TAKE: SOLVING THE INTEGRATION DIVIDE

Who Controls The Clinical Trial Tech Stack And Why It Matters

Tech integration succeeds only when validation, cost, and site diversity are addressed early. Learn what drives adoption, scalability, and long-term value.

 

SITE STRATEGY: REDUCING BURDEN THROUGH INVESTMENT

Why Sponsors Must Invest To Reduce Site Burden

Reducing site burden requires sponsor investment in technology and training. Learn how this improves enrollment, site performance, and overall trial success.

AI, DATA QUALITY, AND TRIAL EXECUTION TRENDS

Why Building Data Quality At The Source Cuts Trial Costs

Fixing data downstream is costly and slow. Learn how building quality at the source reduces errors, accelerates timelines, and improves trial performance.

Using AI To Simulate Patient Recruitment And Trial Feasibility

Simulate enrollment and protocol scenarios with AI to reduce recruitment risk, refine study design, and improve regulatory readiness before trials begin.

Why Clinical Trial Monitoring Needs A New Operating Model

Manual workarounds limit CRA productivity. Learn how streamlined access, standardized workflows, and proactive oversight improve quality and efficiency.

How FDA And EMA AI Guidance Will Impact Clinical Trials

New global AI principles emphasize transparency, human oversight, and risk-based governance, reshaping how clinical trial technologies are developed and used.

The Hidden Costs Of eCOA Software-Only Approaches

Software-only eCOA models create hidden operational risks. Learn how to avoid bottlenecks, reduce protocol risk, and protect timelines and data quality.

What Anthropic’s Stainless Deal Signals For Clinical AI

As AI models commoditize, value shifts to orchestration layers. Learn why interoperability, governance, and flexibility now define competitive advantage.

What Ontology Means For Scaling AI In Clinical Trials

Ontology connects data across systems, enabling scalable AI. Learn why this semantic layer determines whether AI delivers value or remains siloed.

SOLUTIONS TO ACCELERATE STUDY STARTUP

Accelerate Study Startup With Better Trial Collaboration