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All publications

Journal articles

• Kiagias D, Russo G, Sgroi G, Pappalardo F & Juárez MA (2021) . Frontiers in Medical Technology, 3.
• Curreli C, Pappalardo F, Russo G, Pennisi M, Kiagias D, Juarez M & Viceconti M (2021) . International Journal for Numerical Methods in Biomedical Engineering, 37(7).
• Juárez MA, Pennisi M, Russo G, Kiagias D, Curreli C, Viceconti M & Pappalardo F (2020) . BMC Bioinformatics, 21(S17).
• Russo G, Sgroi G, Parasiliti Palumbo GA, Pennisi M, Juarez MA, Cardona P-J, Motta S, Walker KB, Fichera E, Viceconti M & Pappalardo F (2020) . BMC Bioinformatics, 21(S17).
• Viceconti M, Juarez M, Curreli C, Pennisi M, Russo G & Pappalardo F (2020) . IEEE Journal of Biomedical and Health Informatics, 24(1), 4-13.
• Alenazi A, Cox A, Juarez M, Lin W-Y & Walters K (2019) . Genetic Epidemiology.
• Barnett SF, Snape M, Hunter CN, Juárez MA & Cadby AJ (2017) . Scientific Reports, 7.
• Baker D, Hirst AJ, Gokhale PJ, Juarez MA, Williams S, Wheeler M, Bean K, Allison TF, Moore HD, Andrews PW & Barbaric I (2016) . Stem Cell Reports, 7(5), 998-1012.
• Nieselt K, Battke F, Herbig A, Bruheim P, Wentzel A, Jakobsen ØM, Sletta H, Alam MT, Merlo ME, Moore J , Omara WAM et al (2010) . BMC Genomics, 11(1), 10-10.
• Morrissey ER, Juárez MA, Denby KJ & Burroughs NJ (2010) . Bioinformatics, 26(18), 2305-2312.
• Juárez MA & Steel MFJ (2010) . Journal of Applied Econometrics, 25(7), 1128-1154.
• Juárez MA & Steel MFJ (2010) . Journal of Business and Economic Statistics, 28(1), 52-66.
• Ferreira JTAS, Juárez MA & Steel MFJ (2008) . Bayesian Analysis, 3, 267-315.
• Buck CE & Juarez MA () Bayesian radiocarbon modelling for beginners. Archaeometry.
• Sharpe J & Juárez MA () . Communications in Statistics - Theory and Methods.
• Morrissey ER, Juárez MA, Denby KJ & Burroughs NJ () Inferring the time-invariant topology of a non-linear sparse gene regulatory network using fully Bayesian spline autoregression. Biostatistics.

Chapters

• (2024) In Viceconti M & Emili L (Ed.) Springer Nature Switzerland
• Juarez M, Viceconti M, lowe A, Calvetti D, Somersalo E, Geris L, Horner M & De Cunha Maluf-Burgman M (2024) Theoretical Foundations of Good Simulation Practice In Viceonti M & Emili L (Ed.), Toward Good Simulation Practice Best practices for the use of computational modelling & simulation in the regulatory process of biomedical products (pp. 9-23). Springer
• Buck CE & Juárez MA (2020) Modelización bayesiana de radiocarbono para principiantes In Barceló JA & Morell B (Ed.), Cronométricos en Historia y Arqueología (pp. 293-–310). Madrid: Dextra Editorial.

Conference proceedings papers

• Pennisi M, Juarez MA, Russo G, Viceconti M & Pappalardo F (2019) . 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18 November 2019 - 21 November 2019.
• Russo G, Pappalardo F, Juarez MA, Pennisi M, Cardona PJ, Coler R, Fichera E & Viceconti M (2019) . 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 18 November 2019 - 21 November 2019.

Datasets

• Cadby A, Barnett S, Snape M & Juarez M .

Preprints

• Curreli C, Pappalardo F, Russo G, Pennisi M, Kiagias D, Juarez M, Viceconti M & . (2021) Verification of an agent-based disease model of human mycobacterium tuberculosis infection, arXiv.
• Pennisi M, Juarez MA, Russo G, Viceconti M & Pappalardo F (2019) Generation of digital patients for the simulation of tuberculosis with UISS-TB, arXiv.
• Russo G, Pappalardo F, Juarez MA, Pennisi M, Cardona PJ, Coler R, Fichera E & Viceconti M (2019) Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator, arXiv.
• Viceconti M, Juárez MA, Curreli C, Pennisi M, Russo G & Pappalardo F (2019) POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing, arXiv.