Computational Simulator Models and Invasive Hemodynamic Monitoring as Tools for Precision Medicine in Pulmonary Arterial Hypertension.
Giovanna ManziCristiano MiottiMarco Valerio MarianiSilvia PapaFederico LuongoGianmarco ScocciaBeatrice De LazzariClaudio De LazzariRaymond L BenzaFrancesco FedeleCarmine Dario VizzaRoberto BadagliaccaPublished in: Journal of clinical medicine (2021)
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.
Keyphrases
- pulmonary arterial hypertension
- big data
- artificial intelligence
- pulmonary artery
- machine learning
- pulmonary hypertension
- deep learning
- end stage renal disease
- cardiovascular disease
- ejection fraction
- peritoneal dialysis
- blood pressure
- newly diagnosed
- case report
- healthcare
- coronary artery
- electronic health record
- social media