Publications by authors named "Caroline Tiemi Aoyagui"
A 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 Caroline Tiemi Aoyagui
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.
Beer is a carbonated alcoholic beverage produced by fermenting ingredients containing starch, especially malted cereals, and other compounds such as water, hops and yeast. The process comprises five main steps: malting, mashing, boiling, fermentation and maturation. There has been growing interest in the subject, since there is increasing demand for beer quality aspects and beer is a ubiquitous alcoholic beverage in the world.
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