Where AI Meets Clinical Integrity
The official launch of the Aurelyn AI Clinical Academy — the first AI-native learning platform built specifically for clinical research in life sciences. Role-specific courses, guided learning paths, hands-on simulations, and regulation-mapped content, so your team can adopt AI without ever compromising GCP, 21 CFR Part 11, or patient trust. No technical background required.
Can't make it live? Register anyway — every attendee gets the full recording & slides.
AI is already in your trials. The question is whether it's compliant.
Sponsors, CROs, and academic sites are adopting AI faster than their SOPs can keep up. This launch webinar shows you how to move fast and stay inspection-ready.
Compliance-first, always
See how AI maps to GCP, ICH E6(R3), 21 CFR Part 11, and the NIST AI Risk Management Framework — so every model decision is documented, defensible, and audit-ready.
Built for non-technical teams
No code, no jargon. Every concept is explained in plain clinical-operations language, with real study scenarios you'll recognize from your own protocols.
A career you can certify
Get first access to the full course catalog and four industry certifications — ACACP™, ACCAM™, ACAGL™, and ACCAS™ — with a founding-member path revealed live.
What you'll walk away able to do
Every segment is anchored to a measurable learning outcome, framed with Bloom's taxonomy — the same rigor that runs through every Academy course.
The State of AI in Clinical Trials, 2026
A grounded look at where AI is genuinely helping — recruitment, dosing, safety, evidence — and where the hype outruns the evidence.
Outcome: RecognizeThe Compliance-First Framework
How to evaluate any AI tool against GCP, ICH E6(R3) §8, 21 CFR Part 11, and the NIST AI RMF — the exact checklist to bring to your next vendor review.
Outcome: ApplyInside the Academy: the first AI-native platform for life sciences
A first live look at the platform itself — role-specific courses, guided learning paths, hands-on simulations, and content mapped line-by-line to the regulations that govern your studies.
Outcome: EvaluateYour Role-Based Learning Path
How to pick the track built for your job — coordinator to global lead — through role-specific courses, simulations, and the four certifications, plus the founding-member enrollment offer.
Outcome: PlanLive Q&A with the Founder
Bring your hardest compliance-and-AI questions. Submitted questions are answered live; the rest get a written follow-up.
Outcome: EngageLed by a clinical operator, not a hype merchant
Sheilah Johnson-Rocha
Founder & CEO · Aurelyn AI Clinical
MSc · MAPM · TESOL · AIEd
Sheilah brings more than two decades across clinical research, biotech, pharma, and oncology together with a background in AI education. She founded Aurelyn to close the gap she kept seeing firsthand: teams asked to adopt AI with no compliant, plain-language way to learn it. The Academy is her answer — rigorous, regulatory-grade training that treats clinical integrity as non-negotiable.
The first AI-native platform for clinical research
The Academy isn't generic AI training with a clinical coat of paint. It's purpose-built for life sciences from the ground up — so what you learn maps directly to your role, your studies, and the regulations you answer to.
- Role-specific coursesBuilt for your actual job — coordinator, PM, regulatory, safety, or data.
- Guided learning pathsA clear route from fundamentals to certification, sequenced for your role.
- Hands-on simulationsPractice real AI-in-trials decisions in realistic, risk-free scenarios.
- Regulation-mapped contentEvery lesson tied to GCP, ICH E6(R3), 21 CFR Part 11, and the NIST AI RMF.
- Certifications that countFour industry tracks — ACACP™, ACCAM™, ACAGL™, and ACCAS™.
Reserve your free seat
Wednesday, September 16, 2026 · 1:00 PM ET · Live + recording for every registrant
1 · Register free
One quick form on Luma — takes 20 seconds.
2 · Get your link
Zoom join link and a calendar hold, sent instantly.
3 · We remind you
Friendly nudges before we go live — plus the recording after.