Newsletter | March 25, 2026

03.25.26 -- STREAM Edition: 3 Pillars Of Trustworthy AI In Clinical Trials

Should Sponsors Provide Source Document Templates?

Webinar | CRIO

Here, we debate sponsor-provided source document templates, weighing regulatory guidance, compliance risks, and operational impacts for smarter clinical trial documentation decisions.

Digging Through The Hype: Can AI/ML Assist Clinical Development?

Webinar | Revvity Signals Software, Inc.

AI has great potential to enhance the efforts of your team members by accelerating data interactions. Watch this webinar and discover how AI can improve clinical trial outcomes and data management.

The Real Payoff Of Reusable IRT/RTSM System Design

Video | Korio

With consistent, repeatable system builds, sponsors get a big advantage during protocol amendments and operational changes.

Mastering Scope 3 Emissions In Clinical Trials

Webinar | Scout

Explore innovative strategies for reducing Scope 3 emissions in clinical trials. Discover sustainable solutions that uphold quality and outcomes, crucial for achieving net-zero goals in healthcare research.

Best Practices For Operationalizing Global, Early-Phase Oncology Trials

Webinar | Worldwide Oncology

In this presentation, industry experts will share real-world lessons learned from managing global early-phase oncology trials.

Discover Operational Excellence

Video | Worldwide Flex

Selecting the right functional service provider (FSP) is a critical factor in advancing clinical research programs efficiently, and this reimagined FSP model prioritizes each client’s unique objectives.

Real-Time Data Tracking And Compliance Monitoring

Video | IQVIA Technologies

Unlock real-time data tracking, customizable reporting, and proactive compliance monitoring with the IQVIA eCOA Sculptor Portal to enhance clinical decision-making and ensure protocol adherence.

3 Pillars Of Trustworthy AI In Clinical Trials

Video | Clinical Leader

Donna Rivera of Canal Row Advisors stresses that successful and regulator-trusted AI depends on three fundamentals: high-quality, fit-for-purpose data; transparent and explainable models; and cross-disciplinary collaboration to ensure meaningful clinical impact.