Yakimovich, Artur;
(2019)
mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology.
mSphere
, 4
(3)
, Article e00315-19. 10.1128/mSphere.00315-19.
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Abstract
Artur Yakimovich works in the field of computational virology and applies machine learning algorithms to study host-pathogen interactions. In this mSphere of Influence article, he reflects on two papers "Holographic Deep Learning for Rapid Optical Screening of Anthrax Spores" by Jo et al. (Y. Jo, S. Park, J. Jung, J. Yoon, et al., Sci Adv 3:e1700606, 2017, https://doi.org/10.1126/sciadv. 1700606) and "Bacterial Colony Counting with Convolutional Neural Networks in Digital Microbiology Imaging" by Ferrari and colleagues (A. Ferrari, S. Lombardi, and A. Signoroni, Pattern Recognition 61:629-640, 2017, https://doi.org/10.1016/j.patcog.2016.07.016). Here he discusses how these papers made an impact on him by showcasing that artificial intelligence algorithms can be equally applicable to both classical infection biology techniques and cutting-edge label-free imaging of pathogens.
Type: | Article |
---|---|
Title: | mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1128/mSphere.00315-19 |
Publisher version: | https://doi.org/10.1128/mSphere.00315-19 |
Language: | English |
Additional information: | Copyright © 2019 Yakimovich. This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International license. http://creativecommons.org/licenses/by-nc/4.0/. |
Keywords: | anthrax, artificial intelligence, bioimage analysis, computer vision, convolutional neural networks, deep learning, label-free imaging, machine learning |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Lab for Molecular Cell Bio MRC-UCL |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10077602 |
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