de Souza, Luísa C ; De Melo Barbosa, Raquel de Souza et al. New proposal of viral genome representation applied in the classification of SARS-CoV-2 with deep learning. BMC Bioinformatics (2023) 24:92 [https://doi.org/10.1186/s12859-023-05188-1].
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2023
Genesi, Bianca P ; De Melo Barbosa, Raquel ; Viseras Iborra, César Antonio Bianca P. Genesi. [et al.]. Aloe vera and copaiba oleoresin-loaded chitosan films for wound dressings: microbial permeation, cytotoxicity, and in vivo proof of concept, International Journal of Pharmaceutics, Volume 634, 2023, 122648, ISSN 0378-5173, [https://doi.org/10.1016/j.ijpharm.2023.122648].
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2023
Lopes, Márcio L. B. Jr ; De Melo Barbosa, Raquel Lopes, M.L.B., Jr.; Barbosa, R.d.M.; Fernandes, M.A.C. Unsupervised Learning Applied to the Stratification of Preterm Birth Risk in Brazil with Socioeconomic Data. Int. J. Environ. Res. Public Health 2022, 19, 5596. [https://doi.org/10.3390/ijerph19095596].
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2022
Ruggeri, Marco ; Sánchez Espejo, Rita María ; De Melo Barbosa, Raquel. Ruggeri, M. [et al.]. Clay-Based Hydrogels as Drug Delivery Vehicles of Curcumin Nanocrystals for Topical Application. Pharmaceutics 2022, 14, 2836. [https://doi.org/10.3390/pharmaceutics14122836].
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2022
De Souza, Jackson G ; De Melo Barbosa, Raquel de Souza, J.G.; Fernandes, M.A.C.; de Melo Barbosa, R. A Novel Deep Neural Network Technique for Drug–Target Interaction. Pharmaceutics 2021, 14, 625. [https://doi.org/10.3390/pharmaceutics14030625].
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2022
