Computational Simulator Models and Invasive Hemodynamic Monitoring as Tools for Precision Medicine in Pulmonary Arterial Hypertension

Precision medicine, providing the right therapeutic strategy for the right patient, could revolutionize management and prognosis of patients affected by cardiovascular diseases. Big data and artificial intelligence are pivotal for the realization of this ambitious design. In the setting of pulmonary...

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Detalles Bibliográficos
Autores principales: Manzi, Giovanna, Miotti, Cristiano, Mariani, Marco Valerio, Papa, Silvia, Luongo, Federico, Scoccia, Gianmarco, De Lazzari, Beatrice, De Lazzari, Claudio, Benza, Raymond L., Fedele, Francesco, Vizza, Carmine Dario, Badagliacca, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8745441/
https://www.ncbi.nlm.nih.gov/pubmed/35011825
http://dx.doi.org/10.3390/jcm11010082
Descripción
Sumario:Precision medicine, providing the right therapeutic strategy for the right patient, could revolutionize management and prognosis of patients affected by cardiovascular diseases. Big data and artificial intelligence are pivotal for the realization of this ambitious design. In the setting of pulmonary arterial hypertension (PAH), the use of computational models and data derived from ambulatory implantable hemodynamic monitors could provide useful information for tailored treatment, as requested by precision medicine.

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