Newsletter | September 11, 2026

09.11.26 -- Better Data, Faster Trials: How AI And Standards Are Reshaping Clinical Research

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Webinar: Speed Meets Precision: Accelerating Oncology with Smarter Data

Oncology trials are generating more complex data than ever, increasing pressure on sponsors to move faster without compromising quality. Join oncology leaders as they explore how real-time data, AI-enabled analytics, and connected teams are transforming clinical development. Discover practical strategies for modernizing data flow, accelerating decision-making, and navigating evolving expectations, including the FDA’s Project Optimus, with greater speed, confidence, and agility. Click here to learn more.

TRIAL MONITORING

 

The Latest On RBM Uptake? Tufts Says Most, But Not All, Pharma On Board

Tufts CSDD’s Beth Harper shares findings from the org's latest Impact Report and discusses how companies might define risk, measure success, and understand central monitoring. 

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Webinar: What’s Working in AI-Enabled Respiratory Trials: From Recruitment to Site Readiness

Respiratory clinical trials face growing challenges, from shrinking patient populations and complex protocols to competition for patients and sites. How can AI and digital solutions help? This webinar explores practical approaches to optimize study design, predict enrollment, reduce participant burden and detect emerging risks earlier. Discover how technology can support efficient, patient-centric trials while strengthening quality and execution. Click here to learn more.

CLINICAL DATA MANAGEMENT & ANALYTICS

 

Clinical Trial Standards — What They Are And Why They're Indispensable

Clinical trial standards are essential. But to interpret changes and assess downstream impact, context is key.

 

Driving ROI: A Real-Time Clinical Trial Oversight Solution

Sample errors, delays, and query overload drain clinical trial budgets. Learn how real-time data capture can shorten timelines and protect data quality.

 

Hidden Costs Of Data Cleaning: Build Quality At The Source

Hidden costs from downstream data cleaning slow trials and raise risk. Explore why building quality at the source accelerates timelines, reduces errors, and gives sponsors a competitive edge.

 

Innovating With Generative And Agentic Artificial Intelligence

Discover how specialized AI is revolutionizing clinical trials by enhancing data quality and operational speed through curated training, human oversight, and objective scientific analysis.

 

Building A Clinical Research AI Governance Framework

Learn how structured oversight, transparency, and collaboration help ensure compliance, reduce bias, and build trust while enabling innovation in increasingly data-driven trials.

 

Rescue Studies

Clinical trials frequently encounter delays, and rescue studies have become vital to address this challenge, especially in complex therapeutic areas.

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