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A strong evidence base is identified for multimodal imaging-guided prediction, particularly cardiovascular magnetic resonance (CMR) and transthoracic echocardiography (TTE)-derived global longitudinal strain measurements and how these diverse data can be integrated into multimodal risk models is considered.
Quantum-Centric Supercomputers promise to break down the barriers between quantum and classical computing, enabling seamless hybrid algorithms and accelerating discovery across applications.