The increasing production and application of nanomaterials inevitably release these materials into the environment, causing adverse impacts on the ecosystems and human health. Such toxicities must be reliably assessed, their mechanisms elucidated, and their risks predicted. Therefore, it is essential to develop powerful methods for evaluating nanotoxicity, such as in vitro methods (e.g., cell-based or cell-free testing), animal tests (e.g., zebra fish or rat), and computational modeling. Given this background, this Special Issue assembles high-quality original research and review papers that highlight investigations on nanotoxicity using various biological models and in-depth mechanism elucidation. This Special Issue also focuses on applications of advanced machine learning, deep learning algorithms in nanotoxicity modeling and prediction, and molecular simulation in elucidating the mechanisms for emerging nanomaterials
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Hardcover. Etat : new. Hardcover. The increasing production and application of nanomaterials inevitably release these materials into the environment, causing adverse impacts on the ecosystems and human health. Such toxicities must be reliably assessed, their mechanisms elucidated, and their risks predicted. Therefore, it is essential to develop powerful methods for evaluating nanotoxicity, such as in vitro methods (e.g., cell-based or cell-free testing), animal tests (e.g., zebra fish or rat), and computational modeling. Given this background, this Special Issue assembles high-quality original research and review papers that highlight investigations on nanotoxicity using various biological models and in-depth mechanism elucidation. This Special Issue also focuses on applications of advanced machine learning, deep learning algorithms in nanotoxicity modeling and prediction, and molecular simulation in elucidating the mechanisms for emerging nanomaterials This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783725876952
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Hardcover. Etat : new. Hardcover. The increasing production and application of nanomaterials inevitably release these materials into the environment, causing adverse impacts on the ecosystems and human health. Such toxicities must be reliably assessed, their mechanisms elucidated, and their risks predicted. Therefore, it is essential to develop powerful methods for evaluating nanotoxicity, such as in vitro methods (e.g., cell-based or cell-free testing), animal tests (e.g., zebra fish or rat), and computational modeling. Given this background, this Special Issue assembles high-quality original research and review papers that highlight investigations on nanotoxicity using various biological models and in-depth mechanism elucidation. This Special Issue also focuses on applications of advanced machine learning, deep learning algorithms in nanotoxicity modeling and prediction, and molecular simulation in elucidating the mechanisms for emerging nanomaterials This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783725876952
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Hardcover. Etat : new. Hardcover. The increasing production and application of nanomaterials inevitably release these materials into the environment, causing adverse impacts on the ecosystems and human health. Such toxicities must be reliably assessed, their mechanisms elucidated, and their risks predicted. Therefore, it is essential to develop powerful methods for evaluating nanotoxicity, such as in vitro methods (e.g., cell-based or cell-free testing), animal tests (e.g., zebra fish or rat), and computational modeling. Given this background, this Special Issue assembles high-quality original research and review papers that highlight investigations on nanotoxicity using various biological models and in-depth mechanism elucidation. This Special Issue also focuses on applications of advanced machine learning, deep learning algorithms in nanotoxicity modeling and prediction, and molecular simulation in elucidating the mechanisms for emerging nanomaterials This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783725876952
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The increasing production and application of nanomaterials inevitably release these materials into the environment, causing adverse impacts on the ecosystems and human health. Such toxicities must be reliably assessed, their mechanisms elucidated, and their risks predicted. Therefore, it is essential to develop powerful methods for evaluating nanotoxicity, such as in vitro methods (e.g., cell-based or cell-free testing), animal tests (e.g., zebra fish or rat), and computational modeling. Given this background, this Special Issue assembles high-quality original research and review papers that highlight investigations on nanotoxicity using various biological models and in-depth mechanism elucidation. This Special Issue also focuses on applications of advanced machine learning, deep learning algorithms in nanotoxicity modeling and prediction, and molecular simulation in elucidating the mechanisms for emerging nanomaterials. N° de réf. du vendeur 9783725876952
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Buch. Etat : Neu. Toxicity Evaluation of Nanoparticles | Buch | Englisch | 2026 | MDPI AG | EAN 9783725876952 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 135648569
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