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
Department of Clinical, Anesthesiological and Cardiovascular Sciences, Sapienza University of Rome, Viale del Policlinico, 155, 00161 Rome, Italy.
Department of Engineering, Roma Tre University, 00146 Rome, Italy.
J Clin Med. 2021 Dec 24;11(1):82. doi: 10.3390/jcm11010082.
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.
精准医学为合适的患者提供正确的治疗策略，可能会彻底改变心血管疾病患者的管理和预后。大数据和人工智能对于实现这一宏伟计划至关重要。在肺动脉高压（PAH）的情况下，使用计算模型和源自动态可植入血流动力学监测器的数据，可以像精准医学所要求的那样，为量身定制的治疗提供有用信息。
