Paper published using machine learning to predict TB resistance
David Clifton and co-workers have recently published a paper that trained a novel machine learning model (DeepAMR) on a subset of the
CRyPTIC measures its 10,000th microtitre plate
The CRyPTIC Consortium measured the antibiotic susceptibility of its 10,000th sample sometime around the end of 2018. Each sample is incubated on
New paper: machine learning classifiers able to predict resistance to antituberculars
David Clifton, Yang Yang and co-workers have published a paper applying machine learning techniques to a large CRyPTIC dataset containing 13,402 isolates
Fourth Annual CRyPTIC Meeting in Dubai
The fourth annual CRyPTIC meeting took place in Dubai on 31 Oct & 1 Nov 2018 and included a meeting of the
BashTheBug reaches one million classifications!
The volunteers who participate in our citizen science project, BashTheBug, passed one million classifications of M. tuberculosis growth around noon on Tue
CRyPTIC measures its 5,000th sample
The consortium inoculated its 5,000th 96-well microtitre plate with M. tuberculosis sometime in early April. Each 96-well plate contains 14 different antibiotics,