Andreini, D.;                     Melotti, E.;                     Vavassori, C.;                     Chiesa, M.;                     Piacentini, L.;                     Conte, E.;                     Mushtaq, S.;                     Manzoni, M.;                     Cipriani, E.;                     Ravagnani, P.M.;     
    et al.    Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography. Biomedicines 2022, 10, 1309.
    https://doi.org/10.3390/biomedicines10061309
    AMA Style
    
                                Andreini D,                                 Melotti E,                                 Vavassori C,                                 Chiesa M,                                 Piacentini L,                                 Conte E,                                 Mushtaq S,                                 Manzoni M,                                 Cipriani E,                                 Ravagnani PM,         
        et al.        Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography. Biomedicines. 2022; 10(6):1309.
        https://doi.org/10.3390/biomedicines10061309
    
    Chicago/Turabian Style
    
                                Andreini, Daniele,                                 Eleonora Melotti,                                 Chiara Vavassori,                                 Mattia Chiesa,                                 Luca Piacentini,                                 Edoardo Conte,                                 Saima Mushtaq,                                 Martina Manzoni,                                 Eleonora Cipriani,                                 Paolo M. Ravagnani,         
         and et al.        2022. "Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography" Biomedicines 10, no. 6: 1309.
        https://doi.org/10.3390/biomedicines10061309
    
    APA Style
    
                                Andreini, D.,                                 Melotti, E.,                                 Vavassori, C.,                                 Chiesa, M.,                                 Piacentini, L.,                                 Conte, E.,                                 Mushtaq, S.,                                 Manzoni, M.,                                 Cipriani, E.,                                 Ravagnani, P. M.,                                 Bartorelli, A. L.,                                 & Colombo, G. I.        
        
        (2022). Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography. Biomedicines, 10(6), 1309.
        https://doi.org/10.3390/biomedicines10061309