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Cristiano Cardoso, MD, PhD, MBA

Interests

  • Cardiovascular research
  • Medical devices
  • Regenerative medicine

Education

  • Postgraduate:

    MBA – Master`s Business Administration - Getúlio Vargas Foundation (FGV), Rio de Janeiro, Brazil
    Marketing – Postgraduate Degree in Marketing and Digital Media - Getúlio Vargas Foundation (FGV), Rio de Janeiro, Brazil

  • Medical School:

    Catholic University of Pelotas (UCPEL), Pelotas, Brazil

  • Residency:

    San Francisco de Paula University Hospital, Pelotas, Brazil (Internal Medicine)

  • Fellowships:

    Cardiology Institute of Rio Grande do Sul, Porto Alegre, Brazil (Cardiovascular Disease)
    Cardiology Institute of Rio Grande do Sul, Porto Alegre, Brazil (Interventional Cardiology)

Honors, Awards and Memberships

Publications

Li, K., Morales-Garza, M., Cardoso, C. et al. (2023). Early changes in acute myocardial infarction in pigs: achieving early detection with wearable devices. Diagnostics (Basel) 13, 1006. https://doi.org/10.3390/diagnostics13061006.
de Oliveira Cardoso, C., de Moraes, C. V., Teixeira, J. V. et al. (2023). Randomized noninferiority trial of radiation exposure during coronary angiography: The transradial and transfemoral approach by experienced operators in daily routine (EXPERT) trial. Tex Heart Inst J 50, e227930. https://doi.org/10.14503/THIJ-22-7930.
Li, K., Cardoso, C., Moctezuma-Ramirez, A. et al. (2023). Evaluation of large animal models for preclinical studies of heart failure with preserved ejection fraction using clinical score systems. Front Cardiovasc Med 10, 1099453. https://doi.org/10.3389/fcvm.2023.1099453.
Cardoso, C. de O., Knebel, A. V., Lima, C. C. et al. (2022). Patient safety in the cath lab: the trajectory of a service in search of excellence. J Transcat Intervent 30. https://doi.org/10.31160/JOTCI202230A20220013.
de Oliveira Cardoso, C., Elgalad, A., Li, K. et al. (2022). Device-based therapy for decompensated heart failure: An updated review of devices in development based on the DRI2P2S classification. Front Cardiovasc Med 9, 962839. https://doi.org/10.3389/fcvm.2022.962839.
Li, K., Elgalad, A., Cardoso, C. et al. (2022). Using the Apple Watch to record multiple-lead electrocardiograms in detecting myocardial infarction: Where are we now? Tex Heart Inst J 49, e227845. https://doi.org/10.14503/THIJ-22-7845.
Elgalad, A., Moctezuma-Ramirez, A., de Oliveira Cardoso, C. et al. (2022). Ultralow energy cardioversion in a pig model of atrial fibrillation: A feasibility study. Heart Rhythm, S1547-5271(22)00093–5. https://doi.org/10.1016/j.hrthm.2022.01.023.
Paschoalinoto, N. W., Batalha, G. F., Bordinassi, E. C. et al. (2020). MQL Strategies Applied in Ti-6Al-4V Alloy Milling-Comparative Analysis between Experimental Design and Artificial Neural Networks. Materials (Basel) 13, E3828. https://doi.org/10.3390/ma13173828.
Arruda, J. A. de, Lemke, V. de M. G., Mariani Júnior, J. et al. (2020). Position Statement of the Brazilian Cardiology Society and the Brazilian Society of Hemodynamics and Interventional Cardiology on Training Centers and Professional Certification in Hemodynamics and Interventional Cardiology - 2020. Arq Bras Cardiol 114, 137–193. https://doi.org/10.36660/abc.20190841.
Gahremanpour, A., Vela, D., Zheng, Y. et al. (2013). Xenotransplantation of human unrestricted somatic stem cells in a pig model of acute myocardial infarction. Xenotransplantation 20, 110–122. https://doi.org/10.1111/xen.12026.

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