predict atrial fibrillation
Leveraging AI To Predict Atrial Fibrillation
Axel Loewe PhD and colleagues at the Institute of Biomedical Engineering at Karlsruhe Institute of Technology in Germany are developing new ways to predict cardiovascular diseases earlier and more accurately. Dr. Loewe leads an interdisciplinary team that is developing computer models of the human heart using software engineering, algorithmics, numerics, signal processing, data analysis, and machine learning. The group applies the models in simulation studies and brings them into clinical application by creating individualized digital twins of patients. Researchers use digital twins to optimize diagnostic approaches and personalize therapies. They use AI methods based on simulated data and clinical information to help decipher disease mechanisms.