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.

Computational simulator models and invasive hemodynamic monitoring as tools for precision medicine in pulmonary arterial hypertension / Manzi, G.; Miotti, C.; Mariani, M. V.; Papa, S.; Luongo, F.; Scoccia, G.; De Lazzari, B.; De Lazzari, C.; Benza, R. L.; Fedele, F.; Vizza, C. D.; Badagliacca, R.. - In: JOURNAL OF CLINICAL MEDICINE. - ISSN 2077-0383. - 11:1(2022), p. 82. [10.3390/jcm11010082]

Computational simulator models and invasive hemodynamic monitoring as tools for precision medicine in pulmonary arterial hypertension

Manzi G.
Primo
;
Miotti C.
Secondo
;
Mariani M. V.;Papa S.;Luongo F.;Scoccia G.;De Lazzari C.;Fedele F.;Vizza C. D.
Penultimo
;
Badagliacca R.
Ultimo
2022

Abstract

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.
2022
big data; computational models; implantable hemodynamic monitors; precision medicine; pulmonary arterial hypertension
01 Pubblicazione su rivista::01a Articolo in rivista
Computational simulator models and invasive hemodynamic monitoring as tools for precision medicine in pulmonary arterial hypertension / Manzi, G.; Miotti, C.; Mariani, M. V.; Papa, S.; Luongo, F.; Scoccia, G.; De Lazzari, B.; De Lazzari, C.; Benza, R. L.; Fedele, F.; Vizza, C. D.; Badagliacca, R.. - In: JOURNAL OF CLINICAL MEDICINE. - ISSN 2077-0383. - 11:1(2022), p. 82. [10.3390/jcm11010082]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1626430
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