Anna Procopio

20 papers Journal 10Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Modeling strategies for CGM data: A scoping review of mechanistic, machine learning, and hybrid approaches in diabetes management.
Comput. Biol. Medicine
Nilde Fera, Anna Procopio, Paolo Zaffino, Antonio Cutruzzolà, Concetta Irace, Carlo Cosentino
2026 J jnl
Sufficient conditions for the existence of asymptotically stable homeostatic equilibrium points in negative feedback physiological systems.
Biomed. Signal Process. Control.
Rita Granata, Fabrizio Lo Regio, Anna Procopio, Annarita Tedesco, Carlo Ricciardi, Carlo Cosentino, Maria Romano, Alfonso Maria Ponsiglione, Francesco Amato
2025 J jnl
A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points.
IEEE Access
Anna Procopio, Annarita Tedesco, Fabrizio Lo Regio, Giuseppe Cesarelli, Leandro Donisi, Carlo Ricciardi, Alessio Merola, Alfonso Maria Ponsiglione, Maria Romano, Francesco Montefusco, Carlo Cosentino, Francesco Amato
2025 — conf
On the Role of Negative Feedback in Physiological Systems.
ICHI
Rita Granata, Anna Procopio, Annarita Tedesco, Giuseppe Cesarelli, Carlo Ricciardi, Francesca Angelone, Alfonso Maria Ponsiglione, Alessio Merola, Carlo Cosentino, Maria Romano, Francesco Amato
2025 J jnl
Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve.
Comput. Methods Programs Biomed.
Anna Procopio, Marianna Rania, Paolo Zaffino, Nicola Cortese, Federica Giofrè, Franco Arturi, Cristina Segura-Garcia, Carlo Cosentino
2024 — conf
A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches.
BIBM
Nicola Cortese, Antonio Cutruzzolà, Anna Procopio, Paolo Zaffino, Carmine Scalzi, Agostino Gnasso, Concetta Irace, Carlo Cosentino
2024 J jnl
Applications of genome-scale metabolic models to the study of human diseases: A systematic review.
Comput. Methods Programs Biomed.
Nicola Cortese, Anna Procopio, Alessio Merola, Paolo Zaffino, Carlo Cosentino
2024 — conf
Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation.
BIBM
Nilde Fera, Anna Procopio, Antonio Cutruzzolà, Paolo Zaffino, Nicola Cortese, Gloria Formoso, Carlo Cosentino, Concetta Irace
2024 J jnl
Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy.
J. Imaging
Paolo Zaffino, Ciro Benito Raggio, Adrian Thummerer, Gabriel Guterres Marmitt, Johannes Albertus Langendijk, Anna Procopio, Carlo Cosentino, Joao Seco, Antje-Christin Knopf, Stefan Both, Maria Francesca Spadea
2024 — conf
Transmission Delays in Negative Feedback Physiological Systems: The Case of the Muscle Stretch Reflex.
MetroXRAINE
Francesca Angelone, Annarita Tedesco, Alfonso Maria Ponsiglione, Carlo Ricciardi, Donatella Dragone, Carlo Cosentino, Anna Procopio, Maria Romano, Francesco Amato
2023 J jnl
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.
Comput. Methods Programs Biomed.
Anna Procopio, Giuseppe Cesarelli, Leandro Donisi, Alessio Merola, Francesco Amato, Carlo Cosentino
2023 J jnl
Interacting With COVID-19: How Population Behavior, Feedback and Memory Shaped Recurrent Waves of the Epidemic.
IEEE Control. Syst. Lett.
Francesco Montefusco, Anna Procopio, Iulia Martina Bulai, Francesco Amato, Morten Gram Pedersen, Carlo Cosentino
2022 — conf
A combined simulation and machine learning approach to classify severity of infarction patients.
MetroXRAINE
Anna Procopio, Giuseppe Cesarelli, Salvatore De Rosa, Leandro Donisi, Claudia Critelli, Alessio Merola, Ciro Indolfi, Carlo Cosentino, Francesco Amato
2021 — conf
Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling.
RTSI
Anna Procopio, Alessio Merola, Carlo Cosentino, Salvatore De Rosa, Giovanni Canino, Jolanda Sabatino, Jessica Ielapi, Ciro Indolfi, Francesco Amato
2021 J jnl
CBRA: Cardiac biomarkers release analyzer.
Comput. Methods Programs Biomed.
Anna Procopio, Salvatore De Rosa, Francesco Montefusco, Giovanni Canino, Alessio Merola, Jolanda Sabatino, Jessica Ielapi, Ciro Indolfi, Francesco Amato, Carlo Cosentino
2020 J jnl
Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction.
IEEE Trans. Control. Syst. Technol.
Anna Procopio, Carlo Cosentino, Salvatore De Rosa, Míriam R. García, Caterina Covello, Alessio Merola, Jolanda Sabatino, Alessia De Luca, Ciro Indolfi, Francesco Amato
2019 — conf
Identification of the infarct time in patients with acute myocardial infarction.
EMBC
Anna Procopio, Salvatore De Rosa, Caterina Covello, Alessio Merola, Jolanda Sabatino, Alessia De Luca, Christoph Liebetrau, Christian W. Hamm, Ciro Indolfi, Francesco Amato, Carlo Cosentino
2019 — conf
Mathematical Model of the Release of the cTnT and CK-MB cardiac biomarkers in patients with acute myocardial infarction.
ECC
Anna Procopio, Salvatore De Rosa, Caterina Covello, Alessio Merola, Jolanda Sabatino, Alessia De Luca, Ciro Indolfi, Francesco Amato, Carlo Cosentino
2017 — conf
A model of cardiac troponin T release in patient with acute myocardial infarction.
CDC
Anna Procopio, Salvatore De Rosa, Caterina Covello, Alessio Merola, Jolanda Sabatino, Alessia De Luca, Ciro Indolfi, Francesco Amato, Carlo Cosentino
2017 — conf
Predictive mathematical model of cardiac troponin release following acute myocardial infarction.
ICNSC
Anna Procopio, Mariaconcetta Bilotta, Alessio Merola, Francesco Amato, Carlo Cosentino, Salvatore De Rosa, Caterina Covello, Jolanda Sabatino, Alessia De Luca, Ciro Indolfi