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Refinado por: assunto: Materials Science, Multidisciplinary remover assunto: Nanoscience & Nanotechnology remover
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Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
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Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning

Shirokii, Nikolai ; Din, Yevgeniya ; Petrov, Ilya ; Seregin, Yurii ; Sirotenko, Sofia ; Razlivina, Julia ; Serov, Nikita ; Vinogradov, Vladimir

Small (Weinheim an der Bergstrasse, Germany), 2023-05, Vol.19 (19), p.e2207106-n/a [Periódico revisado por pares]

Germany

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Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
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Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles

Jyakhwo, Susan ; Serov, Nikita ; Dmitrenko, Andrei ; Vinogradov, Vladimir V.

Small (Weinheim an der Bergstrasse, Germany), 2024-02, Vol.20 (6), p.e2305375-n/a [Periódico revisado por pares]

Germany

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Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis
Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis
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Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis

Bilgi, Eyup ; Karakus, Ceyda Oksel

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2023-08, Vol.25 (8), Article 157

Dordrecht: Springer Netherlands

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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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