Additional file 1: of Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections (2019)

First Author: Burton R

Attributed to: Innate pathogen sensing by local unconventional T cells during microbial infections funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.6084/m9.figshare.9728951

Publication URI: https://springernature.figshare.com/articles/Additional_file_1_of_Using_artificial_intelligence_to_reduce_diagnostic_workload_without_compromising_detection_of_urinary_tract_infections/9728951

Type: Other