On Sunday, 29 March, 2026, from 10:30 a.m. Event has passed
By the end of this workshop, participants will:
- Understand how AI/ML can reduce clinical trial costs and improve efficiency
- Learn to identify key cost drivers and risk factors in clinical trials
- Gain hands-on experience in predicting trial success and minimizing failures
- Explore AI techniques for early detection of adverse drug events
- Understand regulatory requirements and model explainability in pharma
- Build a basic prototype model and insights dashboard
- Develop data-driven strategies for safer and faster drug development
- Enhance career readiness in AI-driven healthcare and pharma roles
This workshop is ideal for:
- Pharmaceutical and biotech professionals
- Clinical research associates and trial managers
- Data analysts and aspiring data scientists in healthcare
- Regulatory and compliance professionals
- Healthcare professionals interested in AI applications
- Students and researchers in pharma, life sciences, or AI/ML
- Individuals looking to upskill in AI for drug development
No prior experience in AI/ML is required — just an interest in applying technology to improve clinical trials and drug safety. 🚀