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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Publicat a:EBioMedicine
Autors principals: Tavolara, Thomas E., Niazi, M. Khalid Khan, Ginese, Melanie, Piedra-Mora, Cesar, Gatti, Daniel M., Beamer, Gillian, Gurcan, Metin N.
Format: Artigo
Idioma:Inglês
Publicat: Elsevier 2020
Matèries:
Research Paper
Accés en línia: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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