December 6th, 2023, delved into the realm of Digital Twins in
healthcare.
During the first block, Praneeta Konduri brought attention to the use of synthetic data in stroke research, underlining its role in reducing animal testing and enhancing patient treatment insights. Erik Bekkers and Thijs Kuipers presented their work in AI-driven synthetic data generation, focusing on the potential of geometric deep learning to create more accurate and diverse data models. Addressing a critical aspect of data science, Randon Taylor explored the issue of societal biases in data generation, highlighting the necessity of starting with unbiased data to reduce health disparities. This segment underscored the significance and challenges surrounding synthetic data in healthcare.
The second block featured Sean Benson's insights on digital twinning for personalized cardiovascular interventions, where he balanced the needs of data utility and privacy. Henk Marquering presented his very new project on multi-scale digital twins for stroke patients, emphasizing personalized disease management through digital models.
Concluding with a vibrant networking session, the event marked a successful end to the first year of APH Digital Health, setting an optimistic and innovative tone for the future of digital health. All APH Digital Health researchers should stay tuned for all the new meetings and exciting developments coming in 2024.