Prof. Dr.-Ing. Silvia Budday

AI in Medicine

• Develop digital twins of human organs for personalized predictions enhanced through ML/AI algorithms to improve diagnosis and treatment strategies for injury and disease

Basic Research

• Integrate physics-based modeling into ML/AI approaches to improve interpretability, explainability, and extrapolation capabilities
• Integrate data-driven approaches into physics-based modeling to save computational cost, allow for real-time predictions, and involve multi-modal and multi-scale data
• Constitutive artificial neural networks (CANNs)

Contact:

• Email: silvia.budday@fau.de
• Web site: https://www.department.mb.tf.fau.de/person/prof-dr-ing-silvia-budday/