Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches.

Lin, Zhoumeng; Chou, Wei-Chun; Cheng, Yi-Hsien; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E

Lin, Zhoumeng; Chou, Wei-Chun; Cheng, Yi-Hsien; He, Chunla; Monteiro-Riviere, Nancy A; Riviere, Jim E.

Afiliación

Lin Z; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Chou WC; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL, USA.
Cheng YH; Institute of Computational Comparative Medicine, Kansas State University, Manhattan, KS, USA.
He C; Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University, Manhattan, KS, USA.
Monteiro-Riviere NA; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Riviere JE; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL, USA.

Int J Nanomedicine ; 17: 1365-1379, 2022.

Article en En | MEDLINE | ID: mdl-35360005

Asunto(s)

Nanopartículas; Neoplasias; Inteligencia Artificial; Humanos; Aprendizaje Automático; Neoplasias/tratamiento farmacológico; Redes Neurales de la Computación

Palabras clave

artificial intelligence; drug delivery; machine learning; nanomedicine; nanotechnology; physiologically based pharmacokinetic modeling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Nanopartículas / Neoplasias Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Nanomedicine Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Nueva Zelanda

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