Papers
10
Total Citations
185
H-Index
6
About
Luca Rosalia is a pioneering researcher at the intersection of soft robotics and cardiovascular medicine, whose work is redefining how we model and treat heart disease. His primary research areas include soft robotic actuators, hemodynamic modeling, and patient-specific preclinical platforms for valvular and heart failure conditions. Rosalia’s major contributions center on developing tunable soft robotic sleeves and organosynthetic simulators that replicate complex cardiac pathologies—from aortic stenosis to heart failure with preserved ejection fraction (HFpEF). His most cited paper, “A soft robotic sleeve mimicking the haemodynamics and biomechanics of left ventricular pressure overload and aortic stenosis” (2022, 41 citations), exemplifies his approach: creating high-fidelity, customizable benchtop models that bridge the gap between animal studies and human clinical needs. With over 185 total citations across his top works, Rosalia has demonstrated remarkable impact in just a few years. Notably, his 2023 porcine model of HFpEF physiology and his AI-powered multimodal modeling of personalized hemodynamics represent cutting-edge efforts to integrate machine learning with soft robotics. His 2018 work on geometry-based customization of 3D-printed soft pneumatic actuators laid foundational principles for the field. Rosalia’s innovative fusion of robotics, biomaterials, and computational modeling is accelerating the development of next-generation prosthetic devices and therapeutic interventions.
Research Focus
Key Achievements
Top Papers
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- 3An organosynthetic soft robotic respiratory simulator36 citations · 2020
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