The Effective Statistician - in association with PSI Reimagining Clinical Trials with Synthetic Data and Digital Twins
What You’ll Learn in This Episode:
✔ What synthetic data actually is – and what it isn’t
✔ The benefits and challenges of using synthetic data in clinical research
✔ Real-world use cases, from early dementia diagnosis to trial simulation
✔ How digital twins could help predict patient outcomes
✔ Why synthetic data might be especially useful in areas with limited patient access
✔ The regulatory and ethical considerations we’ll need to navigate
Resources & Links:
🔗 Fraunhofer SCAI - AI in Data Analysis and Simulation (AI-DAS)
🔗 CERTAINTY Project (Virtual Twins)
🔗 The Effective Statistician Academy – I offer free and premium resources to help you become a more effective statistician.
🔗 Medical Data Leaders Community – Join my network of statisticians and data leaders to enhance your influencing skills.
🔗 My New Book: How to Be an Effective Statistician - Volume 1 – It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.
🔗 PSI (Statistical Community in Healthcare) – Access webinars, training, and networking opportunities.
Key Publications from Holger and Team:
🔗 A synthetic data generation framework for Alzheimer's disease
🔗 Generative learning for deep biomarker discovery
🔗 Longitudinal digital twins in Parkinson’s Disease
🔗 Digital twins for clinical research – opportunities and limitations
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