A model of cardiac troponin T release in patient with acute myocardial infarction. - Anna Procopio; Salvatore De Rosa; Caterina Covello; Alessio Merola; Jolanda Sabatino; Alessia De Luca; Ciro Indolfi; Francesco Amato 001; Carlo Cosentino (CDC, 2017)

Predictive mathematical model of cardiac troponin release following acute myocardial infarction. - Anna Procopio; Mariaconcetta Bilotta; Alessio Merola; Francesco Amato 001; Carlo Cosentino; Salvatore De Rosa; Caterina Covello; Jolanda Sabatino; Alessia De Luca; Ciro Indolfi (ICNSC, 2017)

Identification of the infarct time in patients with acute myocardial infarction. - Anna Procopio; Salvatore De Rosa; Caterina Covello; Alessio Merola; Jolanda Sabatino; Alessia De Luca; Christoph Liebetrau; Christian W. Hamm; Ciro Indolfi; Francesco Amato 001; Carlo Cosentino (EMBC, 2019)

Mathematical Model of the Release of the cTnT and CK-MB cardiac biomarkers in patients with acute myocardial infarction. - Anna Procopio; Salvatore De Rosa; Caterina Covello; Alessio Merola; Jolanda Sabatino; Alessia De Luca; Ciro Indolfi; Francesco Amato 001; Carlo Cosentino (ECC, 2019)

Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction. - Anna Procopio; Carlo Cosentino; Salvatore De Rosa; Míriam R. García; Caterina Covello; Alessio Merola; Jolanda Sabatino; Alessia De Luca; Ciro Indolfi; Francesco Amato 001 (IEEE Trans. Control. Syst. Technol., 2020)

Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling. - Anna Procopio; Alessio Merola; Carlo Cosentino; Salvatore De Rosa; Giovanni Canino; Jolanda Sabatino; Jessica Ielapi; Ciro Indolfi; Francesco Amato 001 (RTSI, 2021)

CBRA: Cardiac biomarkers release analyzer. - Anna Procopio; Salvatore De Rosa; Francesco Montefusco; Giovanni Canino; Alessio Merola; Jolanda Sabatino; Jessica Ielapi; Ciro Indolfi; Francesco Amato 001; Carlo Cosentino (Comput. Methods Programs Biomed., 2021)

A combined simulation and machine learning approach to classify severity of infarction patients. - Anna Procopio; Giuseppe Cesarelli; Salvatore De Rosa; Leandro Donisi; Claudia Critelli; Alessio Merola; Ciro Indolfi; Carlo Cosentino; Francesco Amato 001 (MetroXRAINE, 2022)

Interacting With COVID-19: How Population Behavior, Feedback and Memory Shaped Recurrent Waves of the Epidemic. - Francesco Montefusco; Anna Procopio; Iulia Martina Bulai; Francesco Amato 001; Morten Gram Pedersen; Carlo Cosentino (IEEE Control. Syst. Lett., 2023)

Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review. - Anna Procopio; Giuseppe Cesarelli; Leandro Donisi; Alessio Merola; Francesco Amato 001; Carlo Cosentino (Comput. Methods Programs Biomed., 2023)

A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches. - Nicola Cortese; Antonio Cutruzzolà; Anna Procopio; Paolo Zaffino; Carmine Scalzi; Agostino Gnasso; Concetta Irace; Carlo Cosentino (BIBM, 2024)

Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation. - Nilde Fera; Anna Procopio; Antonio Cutruzzolà; Paolo Zaffino; Nicola Cortese; Gloria Formoso; Carlo Cosentino; Concetta Irace (BIBM, 2024)

Transmission Delays in Negative Feedback Physiological Systems: The Case of the Muscle Stretch Reflex. - Francesca Angelone; Annarita Tedesco; Alfonso Maria Ponsiglione; Carlo Ricciardi; Donatella Dragone; Carlo Cosentino; Anna Procopio; Maria Romano; Francesco Amato 001 (MetroXRAINE, 2024)

Applications of genome-scale metabolic models to the study of human diseases: A systematic review. - Nicola Cortese; Anna Procopio; Alessio Merola; Paolo Zaffino; Carlo Cosentino (Comput. Methods Programs Biomed., 2024)

On the Role of Negative Feedback in Physiological Systems. - Rita Granata; Anna Procopio; Annarita Tedesco; Giuseppe Cesarelli; Carlo Ricciardi; Francesca Angelone; Alfonso Maria Ponsiglione; Alessio Merola; Carlo Cosentino; Maria Romano; Francesco Amato 001 (ICHI, 2025)

A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points. - 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 001 (IEEE Access, 2025)

Physiological model-based machine learning for classifying patients with binge-eating disorder (BED) from the Oral Glucose Tolerance Test (OGTT) curve. - Anna Procopio; Marianna Rania; Paolo Zaffino; Nicola Cortese; Federica Giofrè; Franco Arturi; Cristina Segura-Garcia; Carlo Cosentino (Comput. Methods Programs Biomed., 2025)