PROCOPIO, ANNA

PROCOPIO, ANNA  

Dipartimento di Medicina sperimentale e clinica  

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Risultati 1 - 20 di 26 (tempo di esecuzione: 0.034 secondi).
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A combined simulation and machine learning approach to classify severity of infarction patients 1-gen-2022 Procopio, Anna; Cesarelli, Giuseppe; De Rosa, Salvatore; Donisi, Leandro; Critelli, Claudia; Merola, Alessio; Indolfi, Ciro; Cosentino, Carlo; Amato, Francesco
A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points 1-gen-2025 Procopio, A.; Tedesco, A.; Regio, F. L.; Cesarelli, G.; Donisi, L.; Ricciardi, C.; Merola, A.; Ponsiglione, A. M.; Romano, M.; Montefusco, F.; Cosentino, C.; Amato, F.
A model of cardiac troponin T release in patient with acute myocardial infarction 1-gen-2017 Procopio, A.; Covello, C.; Merola, A; Sabatino, J.; De Luca, A.; Indolfi, C.; Amato, F.; De Rosa, S; Cosentino, C
A preliminary investigation of diabetic nephropathy biomarkers through machine learning approaches 1-gen-2024 Cortese, N.; Cutruzzola, A.; Procopio, A.; Zaffino, P.; Scalzi, C.; Gnasso, A.; Irace, C.; Cosentino, C.
A preliminary version of a Genome-Scale Metabolic Model for Induced Human Pluripotent Stem Cells (hiPSCs) 1-gen-2023 Procopio, A.; Parrotta, E.; Scalise, S.; Cortese, N.; Merola, A.; Amato, F.; Cuda, G.; Cosentino, C.
Analysis and Classification of Patients with Acute Myocardial Infarction by Using Nonlinear Mixed-Effects Modeling 1-gen-2021 Procopio, Anna; Merola, Alessio; Cosentino, Carlo; DE ROSA, Salvatore; Canino, Giovanni; Sabatino, Jolanda; Ielapi, Jessica; Indolfi, Ciro; Amato, Francesco
Analysis of a Cardiac-Necrosis-Biomarker Release in Patients with Acute Myocardial Infarction via Nonlinear Mixed-Effects Models † 1-gen-2022 Procopio, A.; De Rosa, S.; Montefusco, F.; Canino, G.; Merola, A.; Sabatino, J.; Critelli, C.; Indolfi, C.; Amato, F.; Cosentino, C.
Applications of genome-scale metabolic models to the study of human diseases: A systematic review 1-gen-2024 Cortese, Nicola; Procopio, Anna; Merola, Alessio; Zaffino, Paolo; Cosentino, Carlo
CBRA: Cardiac Biomarkers Release Analyzer 1-gen-2021 Procopio, Anna; De Rosa, Salvatore; Montefusco, Francesco; Canino, Giovanni; Merola, Alessio; Sabatino, Jolanda; Ielapi, Jessica; Indolfi, Ciro; Amato, Francesco; Cosentino, Carlo
Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review 1-gen-2023 Procopio, Anna; Cesarelli, Giuseppe; Donisi, Leandro; Merola, Alessio; Amato, Francesco; Cosentino, Carlo
Deciphering the Role of Wnt and Rho Signaling Pathway in iPSC-Derived ARVC Cardiomyocytes by In Silico Mathematical Modeling 1-gen-2021 Parrotta, Elvira Immacolata; Procopio, Anna; Scalise, Stefania; Esposito, Claudia; Nicoletta, Giovanni; Santamaria, Gianluca; De Angelis, Maria Teresa; Dorn, Tatjana; Moretti, Alessandra; Laugwitz, Karl-Ludwig; Montefusco, Francesco; Cosentino, Carlo; Cuda, Giovanni
Design and Characterisation of a 3D-Printed Pneumatic Rotary Actuator Exploiting Enhanced Elastic Properties of Auxetic Metamaterials 1-gen-2024 Donadio, Francesca Federica; Dragone, Donatella; Procopio, Anna; Amato, Francesco; Cosentino, Carlo; Merola, Alessio
Estimation of the Acute Myocardial Infarction Onset Time based on Time-Course Acquisitions 1-gen-2021 Procopio, A.; De Rosa, S.; Covello, C.; Merola, A.; Sabatino, J.; De Luca, A.; Liebetrau, C.; Hamm, C. W.; Indolfi, C.; Amato, F.; Cosentino, C.
Experimental Modeling and Identification of Cardiac Biomarkers Release in Acute Myocardial Infarction 1-gen-2020 Procopio, A; De Rosa, S; Garcia, Mr; Covello, C; Merola, A; Sabatino, J; De Luca, A; Indolfi, C; Amato, F; Cosentino, C
hiPSCGEM01: A Genome-Scale Metabolic Model for Fibroblast-Derived Human iPSCs 1-gen-2025 Procopio, Anna; Parrotta, Elvira Immacolata; Scalise, Stefania; Zaffino, Paolo; Granata, Rita; Amato, Francesco; Cuda, Giovanni; Cosentino, Carlo
Identification of the infarct time in patients with acute myocardial infarction 1-gen-2019 Procopio, A.; De Rosa, S.; Covello, C.; Merola, A; Sabatino, J.; De Luca, A.; Liebetrau, C.; Hamm, C. W.; Indolfi, C.; Amato, F.; Cosentino, C.
Interacting With COVID-19: How Population Behavior, Feedback and Memory Shaped Recurrent Waves of the Epidemic 1-gen-2023 Montefusco, F; Procopio, A; Bulai, Im; Amato, F; Pedersen, Mg; Cosentino, C
Mathematical model of the release of the CTNT and CK-MB cardiac biomarkers in patients with acute myocardial infarction 1-gen-2019 Procopio, A.; De Rosa, S.; Covello, C.; Merola, A.; Sabatino, J.; De Luca, A.; Indolfi, C.; Amato, F.; Cosentino, C.
Mechanistic and Data-Driven Models for Predicting Glucose Levels during Gestation 1-gen-2024 Fera, N.; Procopio, A.; Cutruzzola, A.; Zaffino, P.; Cortese, N.; Formoso, G.; Cosentino, C.; Irace, C.
On the Role of Negative Feedback in Physiological Systems 1-gen-2025 Granata, R.; Procopio, A.; Tedesco, A.; Cesarelli, G.; Ricciardi, C.; Angelone, F.; Ponsiglione, A. M.; Merola, A.; Cosentino, C.; Romano, M.; Amato, F.