Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning

BACKGROUND: Identifying which individuals will develop tuberculosis (TB) remains an unresolved problem due to few animal models and computational approaches that effectively address its heterogeneity. To meet these shortcomings, we show that Diversity Outbred (DO) mice reflect human-like genetic div...

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發表在:EBioMedicine
Main Authors: Tavolara, Thomas E., Niazi, M. Khalid Khan, Ginese, Melanie, Piedra-Mora, Cesar, Gatti, Daniel M., Beamer, Gillian, Gurcan, Metin N.
格式: Artigo
語言:Inglês
出版: Elsevier 2020
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Research Paper
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7658666/
https://ncbi.nlm.nih.gov/pubmed/33166789
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ebiom.2020.103094
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