What press, analysts, and researchers are saying about Areti.
15 published stories across MedCity News, Healthcare Business Today, Authority Magazine, and others. Whitepapers and peer-reviewed work publish here as they finalize.
Featured whitepaper
The communication problem in clinical trial recruitment.
A field-research-backed paper on why enrollment timelines slip — coordinator capacity, language access, channel fragmentation — and what an always-on AI Coordinator changes about the unit economics.
Earned media coverage
Articles, interviews, podcasts, and analyst features. Newest first. All links open the original publication; we don't proxy or paywall-bypass.
Reaching the Unreached: How AI Is Rewriting Who Gets a Seat at the Table in Clinical Research
Meet Paul Neyman — Bold Journey Magazine
AI Won't Replace Clinical Trial Teams, But It Fixes the Bottlenecks That Keep Patients Out
Areti Health AI Accelerates Trial Recruitment
Interview: Paul Neyman, Co-Founder and Chief Revenue Officer of Areti Health
Paul Neyman: Driving Innovation in HealthTech
Why Clinical Trials Fail to Recruit Patients, and How Areti Health Rethinks the Approach
Where Clinical Trials Really Stall, and How AI Can Finally Unblock the Pipeline
Clinical Trial Recruitment with Areti Health: Reported Speed, Cost, and Accuracy
From Portals to Precision: How Real-Time Data Is Reinventing Clinical Trial Recruitment
Paul Neyman of Areti Health: How AI Is Disrupting Our Industry, and What We Can Do About It
From Months to Weeks: How Generative AI Collapses Clinical Trial Timelines
Transforming Clinical Trial Patient Recruitment: How AI is Revolutionizing Healthcare Research
Using AI to Transform Healthcare and Clinical Trials: Revolutionizing Patient Engagement and Research Efficiency
MedTech38 — Areti Health
Peer-reviewed & methodology
Conference posters, peer-reviewed papers, and methodology notes are listed below as they're published. Pre-prints available under NDA for sponsors and CROs evaluating the platform.
Eligibility logic translation: protocol I/E criteria to executable rules
How Areti converts free-text I/E criteria into auditable, executable matching logic. Estimated Q4 2026.
Multi-language patient engagement at scale across 22 languages
Submitted to SCOPE 2026 Spring. Comparison of conversion rates across language-primary populations.
Time-to-randomization in AI-assisted recruitment: a multi-site analysis
Submission in progress. Empirical comparison of AI-assisted vs. conventional recruitment across 12 protocols.
Cost-per-qualified-patient: unit economics of AI-led recruitment
Quantitative analysis based on PRC pilot deployments. Q3 2026 publication.
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