Synthetic Patients in Clinical Research - English Session

What they are, why they matter, and how they are generated

Synthetic patients, synthetic data, virtual patients and digital twins are rapidly emerging as key tools in clinical research and healthcare innovation. Generated using AI and statistical models trained on real-world patient data, they open new possibilities for privacy-preserving data use, trial optimization and simulation.

This webinar provides a practical and accessible introduction to the field, covering both the business value and the underlying technologies behind synthetic patient generation.

Webinar agenda

1. Context & Definitions

• What are synthetic data, virtual patients and digital twins?
• Why is the field growing so quickly?
• Key concepts and terminology explained clearly

2. Use Cases

• Five concrete applications across clinical research
• From GDPR-compliant data sharing to hybrid and virtual trial design
• Current maturity level and regulatory perspectives

3. Generation Methods

• Explicit approaches: rule-based, statistical and Bayesian models
• Implicit approaches: GANs, VAEs, diffusion models and LLMs
• Strengths, limitations and practical considerations

4. Live Q&A Session

• Ask your questions directly to the speakers
• Discuss practical challenges, opportunities and real-world applications

Who should attend?

Designed for Clinical Operations, Medical Affairs, R&D and innovation teams.

No statistical or AI background required.

Two sessions available

• 🇫🇷 French session - 1:00 PM Paris time: https://app.livestorm.co/horiana/synthetic-patients-in-clinical-research
• 🇬🇧 English session - 4:00 PM Paris time (same content): register on this page to attend the English session.

Speakers

• Louise BASCHET & Vanessa BARBET (FR)
• Louise BASCHET & Marie SALLABERRY (EN)

Register for free

Join us to understand how synthetic patients are transforming clinical research and enabling new ways to leverage healthcare data securely and efficiently.