Clara Mosquera-Lopez is an Assistant Professor at Oregon Health & Science University, where her research bridges biomedical engineering, artificial intelligence, and diabetes technology. Her work focuses on developing machine learning and physics-informed neural network frameworks to model glucose dynamics, alongside AI-enabled automated insulin delivery systems, including dual-hormone closed-loop algorithms incorporating pramlintide. Recent publications highlight her contributions to prediction-based bedtime interventions for nocturnal hypoglycemia and AI-driven meal detection for fully automated diabetes management. Her research aims to advance precision diabetes care through intelligent, physiologically-constrained digital twin technologies and real-world evaluations of automated insulin delivery systems.
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