Prof. Micaela Morettini is an Associate Professor in the Department of Information Engineering at the University of Ancona and Marche Polytechnic (UNIVPM). Her research focuses on bioengineering applications in cardiovascular health, diabetes management, and medical signal processing. She specializes in developing machine learning models for clinical decision support, wearable sensor technologies for continuous monitoring, and interpretable neural networks for disease classification. Her work integrates physiological data analysis with computational modeling to address challenges in cardiology, metabolic disorders, and post-transplant care. Key research interests include electrocardiographic alternans analysis for sudden cardiac death prevention, glycemic monitoring via wrist-worn devices, and predictive modeling of hypoglycemia risks in diabetes patients. She has contributed to databases like Sport DB 2.0 for sports-related physiological monitoring and cloud-based diagnostic systems (e.g., CLAUDIA for Alzheimer’s detection). Her studies often bridge engineering innovations with clinical needs, emphasizing translational research. Recent publications highlight advancements in AI-driven diagnostics, including ECG-based heart failure detection, fetal phonocardiography analysis, and automated classification of lung cancer histology using deep learning. Collaborations span cardiology, obstetrics, and nephrology, reflecting her interdisciplinary approach to biomedical engineering challenges.
