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Michael Zietz

Researcher at Columbia University

Publications -  14
Citations -  2312

Michael Zietz is an academic researcher from Columbia University. The author has contributed to research in topics: Autoencoder & Biology. The author has an hindex of 9, co-authored 11 publications receiving 1597 citations. Previous affiliations of Michael Zietz include University of Pennsylvania.

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Opportunities and obstacles for deep learning in biology and medicine.

TL;DR: It is found that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art.
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Associations between blood type and COVID-19 infection, intubation, and death.

TL;DR: Assessment of the association between ABO and Rh blood types and infection, intubation, and death in SARS-CoV-2 finds slightly increased infection prevalence among non-O types and estimates Rh-negative blood type to have a protective effect for all three outcomes.
Posted ContentDOI

Testing the association between blood type and COVID-19 infection, intubation, and death

TL;DR: A preliminary observational study of data currently being collected during the SARS-CoV-2 outbreak finds new evidence of associations between B, AB, and Rh blood types and COVID-19 and further evidence of recently-discovered associations between A and O blood groups and CO VID-19.
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Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions.

Daniel Butler, +78 more
TL;DR: A 30-minute colorimetric test for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling was designed in this article.