Publications by authors named "Rafael Gustavo Martins Rodrigues"
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 definitive diagnosis depends on yeast microscopic visualization and immunological tests, but both present ambiguous results and difficulty in differentiating PCM from other fungal infections.
View Article and Find Full Text PDFA Machine Learning Application Based in Random Forest for Integrating Mass Spectrometry-Based Metabolomic Data: A Simple Screening Method for Patients With Zika Virus.
Carlos Fernando Odir Rodrigues Melo Luiz Claudio Navarro Diogo Noin de Oliveira Tatiane Melina Guerreiro Estela de Oliveira Lima Rafael Gustavo Martins Rodrigues
Front Bioeng Biotechnol
April 2018
Article Synopsis
- * The study proposes a new diagnostic approach that combines high-resolution mass spectrometry with machine learning to identify Zika virus infections more efficiently than the traditional RT-PCR method.
- * This innovative method offers a cost-effective and accurate alternative for diagnosing Zika, utilizing mass spectrometric data to create a "fingerprint" for the disease, even in patients after the acute infection phase.