ZARZA We are Zarza, the prestigious firm behind major projects in information technology.
Listen "Machine Learning-Based Algorithm to Predict Death from COVID-19"
Episode Synopsis
Dr. Netto discusses with his two guests, Dr. Peter MCaffrey from the UTMB in Galveston and Dr. Adam Booth, their publication on developing a machine learning model using 5 serum chemistry laboratory parameters for the prediction of death from COVID-19. The discussion is followed by a conversation on the exciting role of AI and social media in Pathology given the unique expertise of the guests.
Associated article: Development of a prognostic model for mortality in COVID-19 infection using machine learning
https://www.nature.com/articles/s41379-020-00700-x
Associated article: Development of a prognostic model for mortality in COVID-19 infection using machine learning
https://www.nature.com/articles/s41379-020-00700-x
More episodes of the podcast Springer Nature
Resisting parasitoids: beetle v wasp
26/11/2025
The consequences of invasion
29/10/2025
Older and wiser? The neural correlates of worry induction and reappraisal in older adults
27/10/2025
Genomic responses to past and future change
27/08/2025
July 2025: ECI Katie Strobel
20/08/2025
Colourful signals in Anolis lizards
30/07/2025
In God we trust