Eric A. Zizzi

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All research themes

Data science in clinical research

Collaborations in which I contribute data analysis and machine learning to clinical and biomedical studies, from genetic risk to transplant outcomes.

Alongside molecular modelling, I take part in clinical and biomedical studies led by other groups, where I bring data analysis and machine learning. Examples include a genetic signature of susceptibility to thyroid cancer, explainable models of fracture risk after kidney transplantation, and a medico-legal method for assessing the use of artificial intelligence in medical liability.

Papers on this theme

2024

Blood matters: the hematological signatures of Coronavirus infection

Toro, A.; Arévalo, A. P.; Pereira-Gómez, M.; Sabater, A.; Zizzi, E. A.; Perbolianachis, P.; Pascual, G.; Lage-Vickers, S.; Pórfido, J. L.; Achinelli, I.; Seniuk, R.; Bizzotto, J.; Sanchis, P.; Olivera, A.; Leyva, A.; Moreno, P.; Costábile, A.; Fajardo, A.; Carrión, F.; Fló, M.; Olivero-Deibe, N.; Rodriguez, F.; Nin, N.; Anselmino, N.; Labanca, E.; Vazquez, E.; Cotignola, J.; Alonso, D. F.; Valacco, M. P.; Marti, M.; Gentile, F.; Cherkasov, A.; Crispo, M.; Moratorio, G.; Gueron, G.

Cell Death & Disease15(11), 863

10.1038/s41419-024-07247-8Open access