Sara Quattrocelli
Papers
1
Total Citations
10
H-Index
1
About
Dr. Sara Quattrocelli is a leading researcher at the intersection of neurorehabilitation and artificial intelligence, with a primary focus on enhancing motor recovery in stroke survivors. Her most cited work, "Integrating Machine Learning with Robotic Rehabilitation May Support Prediction of Recovery of the Upper Limb Motor Function in Stroke Survivors" (2024, 10 citations), represents a pivotal contribution to the field. In this study, Dr. Quattrocelli demonstrates how machine learning algorithms can be harnessed to predict upper limb motor function recovery, thereby enabling clinicians to tailor robotic rehabilitation protocols with unprecedented precision. By identifying the optimal type and intensity of therapy for individual patients, her research moves beyond one-size-fits-all approaches toward truly personalized medicine. This work not only advances our understanding of motor impairment remediation but also establishes a practical framework for integrating data-driven decision-making into clinical practice. Dr. Quattrocelli’s innovative methodology has already garnered attention for its potential to improve outcomes and reduce recovery times, positioning her as a key figure in the ongoing transformation of stroke rehabilitation through computational intelligence.
Research Focus
Key Achievements
Top Papers
- 1