Intelligent diagnostic system for Cryptococcus: Switch-controllable nanocatcher and CNN-based artificial intelligence-Reference-Cited by-同舟云学术

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Intelligent diagnostic system for Cryptococcus: Switch-controllable nanocatcher and CNN-based artificial intelligence

Published:2023-06 Issue: Volume:465 Page:142674
ISSN:1385-8947
Container-title:Chemical Engineering Journal
language:en
Short-container-title:Chemical Engineering Journal

Author:

Gu Feng,Hu Shan,Tian Benshun,Ma Tianyi,Xu Yu,Yang Ying,Gu Bing

Funder

National Natural Science Foundation of China

Suzhou Municipal Health Commission

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry

Reference50 articles.

1. Cryptococcal meningitis in an immunocompetent patient;Murphy;Am. J. Emerg. Med.,2020

2. Ambition study group, single-dose liposomal amphotericin B treatment for cryptococcal meningitis;Jarvis;N. Engl. J. Med.,2022

3. Cryptococcal meningitis: epidemiology, immunology, diagnosis and therapy;Williamson;Nat. Rev. Neurol.,2017

4. Reimagining the future of African brain health: Perspectives for basic research on the pathogenesis of cryptococcal meningitis;Dangarembizi;Brain Behav Immun Health.,2021

5. Development and application of rapid clinical visualization molecular diagnostic technology for Cryptococcus neoformans/C. gattii based on recombinase polymerase amplification combined with a lateral flow strip;Wang;Front. Cell. Infect. Microbiol.,2022

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