Eleonora Maria Aiello

Assistant Professor

University of Trento

Italy

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Eleonora Maria Aiello is an Assistant Professor at the University of Trento, Italy. Her research primarily focuses on glucose dynamics, energy expenditure in individuals with type 1 diabetes, and the development of real-time monitoring systems for metabolic health. Recent articles include studies on personalized model identification for glucose dynamics, online classification of exercise sessions, and pharmacokinetic models related to insulin and pharmacodynamics. She contributes to innovative clinical applications that improve the management of diabetes and related conditions.

Articles (18)

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2025

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2020

Collaborators (5)

Chiara Toffanin

Associate Professor

University of Pavia

ITALY

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Kelilah Wolkowicz

Assistant Professor

University of Massachusetts Lowell

UNITED STATES

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Francis J. Doyle

Harvard University

UNITED STATES

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Michael Riddell

Professor

York University

CANADA

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Michael Rickels

Professor, Clinician-Educator

University of Pennsylvania

UNITED STATES

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Eleonora Maria Aiello

Research Interests

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Articles (18)

A hierarchical network model for the estimate of the energy expenditure in individuals with type 1 diabetes

Personalized Model Identification for Glucose Dynamics From Clinical Data With Incomplete Inputs

Personalized Model Identification for Glucose Dynamics from Clinical Data with Incomplete Inputs

Empirical pharmacodynamic model of phenylephrine and intrathecal bupivacaine for mean arterial pressure prediction in obstetric patients presenting for elective cesarean delivery under spinal anesthesia

Model Predictive Control (MPC) of an artificial pancreas with data-driven learning of multi-step-ahead blood glucose predictors

Online Classification of Unstructured Free-Living Exercise Sessions in People with Type 1 Diabetes

Clinical Evaluation of a Novel Insulin Immunosensor

Development of a Novel Insulin Sensor for Clinical Decision-Making

A novel model-based estimator for real-time prediction of insulin-on-board

Design of a Real-Time Physical Activity Detection and Classification Framework for Individuals With Type 1 Diabetes

Pharmacokinetic Model-Based Control across the Blood–Brain Barrier for Circadian Entrainment

Ketone-Based Alert System for Insulin Pump Failures

Model Identification with Incomplete Input Data in Type 1 Diabetes*

Model-based identification of eating behavioral patterns in populations with type 1 diabetes

Concept of the “Universal Slope”: Toward Substantially Shorter Decentralized Insulin Immunoassays

A review of biomarkers in the context of type 1 diabetes: Biological sensing for enhanced glucose control

Review of automated insulin delivery systems for individuals with type 1 diabetes: tailored solutions for subpopulations

Therapy-driven Deep Glucose Forecasting

Collaborators (5)

Chiara Toffanin

Kelilah Wolkowicz

Francis J. Doyle

Michael Riddell

Michael Rickels

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