Scheduled presentations:

• CardioPINNs: An Inverse Physics-Informed Neural Network Platform for Cardiovascular Blood Flow Simulations
  *O. Khan (Toronto Metropolitan University)
• Modeling Lower-Limb Venous Hemodynamics: A 1D Computational Framework for Investigating Valves and External Compression
  *S. Ferlito (Ecole des Mines de Saint-Etienne, Saint-Etien), M. Reda (Ecole des Mines de Saint-Etienne, Saint-Etien), A. Sen (King's College London), J. Alastruey (King's College London), S. Avril (Ecole des Mines de Saint-Etienne, Saint-Etien)
• Learning Spatio-Temporal Dynamics with Latent Dynamics Networks for Constructing Cardiac Digital Twins
  *L. Dede' (Politecnico di Milano)
• A Julia framework for modelling endovascular device interaction
  *M. Aguirre (Universitat Politècnica de Catalunya), B. Bisighini (Mines Saint-Étienne), A. ARgilaga (CIMNE), M. Shankar Yadav (University of Nebraska-Lincoln), N. Nama (University of Nebraska-Lincoln), S. Avril (Mines Saint-Étienne)
• Combining Fluid-Structure Interaction and Systems Biology to Predict Aortic Valve Calcification
  M. Quan (Vanderbilt University), L. Harris (University of Arkansas), *H. Luo (Vanderbilt University)