Pifarré, M.;                     Tena, A.;                     Clarià, F.;                     Solsona, F.;                     Vilaplana, J.;                     Benavides, A.;                     Mas, L.;                     Abella, F.    
        A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations. Sensors 2022, 22, 1106.
    https://doi.org/10.3390/s22031106
    AMA Style
    
                                Pifarré M,                                 Tena A,                                 Clarià F,                                 Solsona F,                                 Vilaplana J,                                 Benavides A,                                 Mas L,                                 Abella F.        
                A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations. Sensors. 2022; 22(3):1106.
        https://doi.org/10.3390/s22031106
    
    Chicago/Turabian Style
    
                                Pifarré, Marc,                                 Alberto Tena,                                 Francisco Clarià,                                 Francesc Solsona,                                 Jordi Vilaplana,                                 Arnau Benavides,                                 Lluis Mas,                                 and Francesc Abella.        
                2022. "A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations" Sensors 22, no. 3: 1106.
        https://doi.org/10.3390/s22031106
    
    APA Style
    
                                Pifarré, M.,                                 Tena, A.,                                 Clarià, F.,                                 Solsona, F.,                                 Vilaplana, J.,                                 Benavides, A.,                                 Mas, L.,                                 & Abella, F.        
        
        (2022). A Machine-Learning Model for Lung Age Forecasting by Analyzing Exhalations. Sensors, 22(3), 1106.
        https://doi.org/10.3390/s22031106