Applied AI in Clinical Research: Trial Design, PV Automation, FDA-EMA Compliance & 90-Day Action Roadmap
re you working in clinical research and watching AI transform the industry around you — but not yet in your workflow?
What you’ll learn
- Apply AI tools to clinical trial protocol design using real methods from Gilead, Medidata, and Tufts CSDD benchmarks — no coding required..
- Automate adverse event case processing and signal detection using AI — reduce PV workload by up to 70% with verified real-world techniques..
- Build role-specific AI prompt templates for CRA, PV, regulatory, and data management tasks you can use in your workflow immediately..
- Design and pilot an AI agent workflow for clinical trial monitoring, TMF management, or pharmacovigilance using free and low-cost tools..
- Execute a 90-day personal AI roadmap with monthly milestones, a prompt library tracker, and a compliance-ready documentation log..
Course Content
- Introduction –> 1 lecture • 2min.
- Module 1 –> 1 lecture • 27min.
- Module 2 –> 1 lecture • 29min.
- Module 3 –> 1 lecture • 27min.
- Conclusion –> 1 lecture • 6min.
Requirements
re you working in clinical research and watching AI transform the industry around you — but not yet in your workflow?
This course closes that gap. In 60 focused minutes you will learn exactly how leading pharmaceutical companies, CROs, and regulatory bodies are deploying AI in clinical trials right now — and walk away with tools, templates, and a 90-day action plan you can apply immediately.
No coding. No data science background. No theory without application.
What you will learn:
- Apply AI to clinical trial protocol design using real methods from Gilead, Medidata, and Tufts CSDD benchmark data
- Automate adverse event case processing and pharmacovigilance signal detection — reduce manual workload using verified real-world deployments
- Build a personal prompt library with role-specific templates for CRAs, PV scientists, regulatory affairs, and data managers
- Understand and apply the FDA-EMA January 2026 joint AI principles and EU AI Act requirements to your clinical research submissions
- Design AI agent workflows for monitoring, TMF management, and safety surveillance using free and low-cost tools
- Evaluate synthetic control arms, RBQM platforms, and AI feasibility tools backed by 44 peer-reviewed and regulatory references
- Complete a hands-on capstone project across three real clinical research scenarios with full grading criteria
- Execute your personal 90-day AI roadmap with monthly milestones, prompt trackers, and a compliance-ready documentation log
This course is for clinical research associates, pharmacovigilance scientists, regulatory affairs managers, data managers, and clinical project managers at sponsors, CROs, and biotech companies who want practical AI skills — not buzzwords.
What is included: full lecture with 30 quiz questions, presenter scripts, 44 verified references, capstone project, and a downloadable 90-day personal roadmap.
Every tool, every technique, every example is in production use today.