Luca Dede' – författare

Mathematical and numerical modelling of the human cardiovascular system has attracted remarkable research interest due to its intrinsic mathematical difficulty and the increasing impact of cardiovascular diseases worldwide. This book addresses the two principal components of the cardiovascular system: arterial circulation and heart function. It systematically describes all aspects of the problem, stating the basic physical principles, analysing the associated mathematical models that comprise PDE and ODE systems, reviewing sound and efficient numerical methods for their approximation, and simulating both benchmark problems and clinically inspired problems. Mathematical modelling itself imposes tremendous challenges, due to the amazing complexity of the cardiovascular system and the need for computational methods that are stable, reliable and efficient. The final part is devoted to control and inverse problems, including parameter estimation, uncertainty quantification and the development of reduced-order models that are important when solving problems with high complexity, which would otherwise be out of reach.

Mathematical and numerical modelling of the human cardiovascular system has attracted remarkable research interest due to its intrinsic mathematical difficulty and the increasing impact of cardiovascular diseases worldwide. This book addresses the two principal components of the cardiovascular system: arterial circulation and heart function. It systematically describes all aspects of the problem, stating the basic physical principles, analysing the associated mathematical models that comprise PDE and ODE systems, reviewing sound and efficient numerical methods for their approximation, and simulating both benchmark problems and clinically inspired problems. Mathematical modelling itself imposes tremendous challenges, due to the amazing complexity of the cardiovascular system and the need for computational methods that are stable, reliable and efficient. The final part is devoted to control and inverse problems, including parameter estimation, uncertainty quantification and the development of reduced-order models that are important when solving problems with high complexity, which would otherwise be out of reach.

This book, LNCS 16193, constitutes the proceedings of the First International Workshop on Digital Twin for Healthcare, DT4H 2025, held in conjunction with MICCAI 2025, in Daejeon, South Korea, during September 23, 2025.The 15 full papers included in the book were carefully reviewed and selected from 24 submissions. They deal with integrating Digital Twin frameworks with conventional medical imaging and computational tools, focusing on topics such as organ- and disease-specific DT modeling; multi-modal data integration; AI-driven simulation and prediction; DT-guided diagnostic and treatment planning; etc.

This book, LNCS 16193, constitutes the proceedings of the First International Workshop on Digital Twin for Healthcare, DT4H 2025, held in conjunction with MICCAI 2025, in Daejeon, South Korea, during September 23, 2025.The 15 full papers included in the book were carefully reviewed and selected from 24 submissions. They deal with integrating Digital Twin frameworks with conventional medical imaging and computational tools, focusing on topics such as organ- and disease-specific DT modeling; multi-modal data integration; AI-driven simulation and prediction; DT-guided diagnostic and treatment planning; etc.