mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology
mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology
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United States: American Society for Microbiology
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English
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United States: American Society for Microbiology
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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 discuss...
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mSphere of Influence: the Rise of Artificial Intelligence in Infection Biology
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TN_cdi_doaj_primary_oai_doaj_org_article_a3e7c16559e545e0a160af8d86ed51c0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a3e7c16559e545e0a160af8d86ed51c0
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2379-5042
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2379-5042
DOI
10.1128/mSphere.00315-19
