AI in Clinical Trials
Harness AI to transform clinical operations and decision-making
LEVELS
Training Levels
Choose the right level for your team
AI Foundations
LEVEL 1Coordinators, CRAs, Research Nurses, Data Entry Staff
- AI and ML fundamentals for clinical research
- Separating hype from reality
- Ethics and data privacy in AI-powered trials
- Live demonstration of AI tools
AI Implementation
LEVEL 2Clinical Data Managers, Senior CRAs, Quality Managers
- Generative AI for protocol drafts and CSRs
- AI-powered patient screening and recruitment
- Automated data cleaning and anomaly detection
- Risk-Based Monitoring with predictive analytics
AI Strategy & Governance
LEVEL 3Clinical Operations Directors, CRU Heads, IT/Digital Health Leads
- AI adoption roadmap and vendor selection
- AI governance: accountability, transparency, bias mitigation
- Regulatory landscape (FDA, EMA, SFDA)
- Change management for digital transformation
OUTCOMES
Learning Outcomes
Leave with hands-on experience using AI tools applicable immediately
Understand AI limitations, biases, and when human oversight is essential
Reduce time on repetitive tasks by 40-60%
Navigate SFDA and international AI requirements
Build a realistic AI adoption plan for your institution
AVAILABILITY
Training Formats
On-Site Training (KSA)
CERTIFICATE INCLUDED
Virtual Classroom
CERTIFICATE INCLUDED
Europe Immersion
CERTIFICATE INCLUDED
All participants receive an MFG Training certified completion certificate upon successful program completion.
Key Topics
Key Topics
- 1AI Fundamentals, Ethical Considerations, & Data Privacy
- 2Generative AI for Protocol Drafts & Clinical Study Reports
- 3Automated Data Cleaning & AI-Powered Patient Screening
- 4AI Governance Frameworks & Regulatory Landscape (FDA, EMA, SFDA)
Not Sure Where to Start?
Assess your team's experience levels and exact training needs with a customized consultation.
- Level Recommendations
- Customized Proposals
- Flexible Scheduling