Prazo para submissão: 30 November 2024
Data de Notificação: 01/04/2025
Editora: Elsevier
Revista: Computers in Biology and Medicine
Detalhes:
Digital twins offer a virtual, dynamic and high-fidelity replica of a patient-specific condition. They are increasingly adopted in cardiovascular medicine for individual risk assessment, outcome prediction, and tailored therapy planning. Predictive computational frameworks, which rely on the physical knowledge of a system, have paved the way towards achieving these goals. The integration of physics-driven models with data-driven tools capable of identifying task-specific patterns and correlation