Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses

Metabolomics and Machine Learning Approaches Combined in Pursuit for More Accurate Paracoccidioidomycosis Diagnoses

ABSTRACT Brazil and many other Latin American countries are areas of endemicity for different neglected diseases, and the fungal infection paracoccidioidomycosis (PCM) is one of them. Among the clinical manifestations, pneumopathy associated with skin and mucosal lesions is the most frequent. PCM de...

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Bibliographic Details
Main Authors: Estela de Oliveira Lima, Luiz Claudio Navarro, Karen Noda Morishita, Camila Mika Kamikawa, Rafael Gustavo Martins Rodrigues, Mohamed Ziad Dabaja, Diogo Noin de Oliveira, Jeany Delafiori, Flávia Luísa Dias-Audibert, Marta da Silva Ribeiro, Adriana Pardini Vicentini, Anderson Rocha, Rodrigo Ramos Catharino
Format: Article
Language:English
Published: American Society for Microbiology 2020-06-01
Series:mSystems
Subjects:
artificial intelligence
diagnosis
metabolomics
paracoccidioidomycosis
Online Access:https://journals.asm.org/doi/10.1128/mSystems.00258-20

Internet

https://journals.asm.org/doi/10.1128/mSystems.00258-20

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