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Bollen Pinto B, Ribas Ripoll V, Subías-Beltrán P, Herpain A, Barlassina C, Oliveira E, Pastorelli R, Braga D, Barcella M, Subirats L, et al. Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study. Journal of Clinical Medicine. 2021; 10(19):4354. https://doi.org/10.3390/jcm10194354

Bollen Pinto, Bernardo, Vicent Ribas Ripoll, Paula Subías-Beltrán, Antoine Herpain, Cristina Barlassina, Eliandre Oliveira, Roberta Pastorelli, Daniele Braga, Matteo Barcella, Laia Subirats, and et al. 2021. "Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study" Journal of Clinical Medicine 10, no. 19: 4354. https://doi.org/10.3390/jcm10194354

Bollen Pinto, B., Ribas Ripoll, V., Subías-Beltrán, P., Herpain, A., Barlassina, C., Oliveira, E., Pastorelli, R., Braga, D., Barcella, M., Subirats, L., Bauzá-Martinez, J., Odena, A., Ferrario, M., Baselli, G., Aletti, F., Bendjelid, K., & on behalf of the Shockomics Consortium. (2021). Application of an Exploratory Knowledge-Discovery Pipeline Based on Machine Learning to Multi-Scale OMICS Data to Characterise Myocardial Injury in a Cohort of Patients with Septic Shock: An Observational Study. Journal of Clinical Medicine, 10(19), 4354. https://doi.org/10.3390/jcm10194354