Helmholtz Information & Data Science Lectures @HIDSS4Health
Virtual
Synergies between mechanistic and data-driven models in medical research
Date: Wednesday, 20.11.2024
Time: 11:00 CET
Presenter: Dr. Axel Loewe, Karlsruhe Institute of Technology (KIT)
Explore the intersection of mechanistic modeling and machine learning in medical research with Dr. Axel Loewe, head of the Computational Cardiac Modeling Group at KIT. This lecture will delve into the challenges faced by machine learning in biomedicine, including data availability and quality issues, and how mechanistic models can help overcome these obstacles. Dr. Loewe will discuss the generation and validation of synthetic data, particularly in cardiac electrophysiology, and demonstrate how these approaches can enhance the training of machine learning models. With a strong background in biomedical engineering, Dr. Loewe’s work emphasizes the synergy between data-driven and mechanistic models to advance medical research.
We are looking forward to your registration!
