MS338A Data-driven Modelling of the Human Cardiovascular System for Understanding, Diagnosis, Treatment and Management I
Main Organizer:
Dr.
Neeraj Kavan Chakshu
(
Swansea University
, United Kingdom
)
Chaired by:
Prof. Perumal Nithiarasu (Swansea University , United Kingdom)
Prof. Perumal Nithiarasu (Swansea University , United Kingdom)
Scheduled presentations:
-
Data-Driven Generation of Personalized Healthy Aortic Flow References for Aortic Valve Stenosis Patients
-
A Closed-Loop Lumped-Parameter Cardiovascular Model of the Supine-to-Stand Manoeuvre and Its Association with Falls
-
Physics-Based Discriminant Modeling of Doppler Hemodynamics for Cerebral Occlusion Localization
-
Data-Driven Cardiovascular Digital Twins for Early Sepsis Detection and Management of Systemic Dysfunction
-
Mesh-Independent Neural Networks with Adaptive Sampling for Accelerated Cardiovascular Flow Simulation
-
Integrating Isogeometric Analysis and Kolmogorov–Arnold Networks for Efficient Cardiac Simulation
