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Methods in Molecular Biology (Clifton, N.J.)|August 7, 2026
Machine Learning for Optimizing the Optical Propertiesof Quantum DotsCintia Ellen Giarola, Fernanda Sumika Hojo de Souza, Marco Antônio Schiavon
Viruses|October 28, 2023
Risks of Adverse Outcomes for Hospitalized COVID-19 Patients during the Four Waves in Brazil According to SARS-CoV-2 Variants, Age Group, and Vaccine StatusNatália Satchiko Hojo-Souza, Waasila Jassat, Daniel Ludovico Guidoni, et al.
Epidemiology and Health|September 1, 2023
Clinical symptom profile of hospitalized COVID-19 Brazilian patients according to SARS-CoV-2 variantsNatália Satchiko Hojo-Souza, Vander Luis de Souza Freitas, Daniel Ludovico Guidoni, et al.
The Journal of Chemical Physics|November 10, 2023
Machine learning predicted emission of water-stable CdTe quantum dotsAndré Felipe Vale Fonseca, Cintia Ellen Giarola, Thais Adriany de Souza Carvalho, et al.
Frontiers in Artificial Intelligence|September 13, 2021
Predicting the Disease Outcome in COVID-19 Positive Patients Through Machine Learning: A Retrospective Cohort Study With Brazilian DataFernanda Sumika Hojo De Souza, Natália Satchiko Hojo-Souza, Edimilson Batista Dos Santos, et al.
Plos One|March 18, 2021
On the analysis of mortality risk factors for hospitalized COVID-19 patients: A data-driven study using the major Brazilian databaseFernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Ben Dêivide de Oliveira Batista, et al.
Scientific Reports|February 19, 2022
An overview of Brazilian working age adults vulnerability to COVID-19Fernanda Sumika Hojo de Souza, Natália Satchiko Hojo-Souza, Daniela Carine Ramires de Oliveira, et al.
Vaccines|October 28, 2023
Profile and Outcomes of Hospitalized COVID-19 Patients during the Prevalence of the Omicron Variant According to the Brazilian Regions: A Retrospective Cohort Study from 2022Pedro Dutra Drummond, Daniel Bortot de Salles, Natália Satchiko Hojo de Souza, et al.
Malaria Journal|January 26, 2017
On the cytokine/chemokine network during Plasmodium vivax malaria: new insights to understand the diseaseNatália Satchiko Hojo-Souza, Dhelio Batista Pereira, Fernanda Sumika Hojo de Souza, et al.
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