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Expert Systems for Predicting the Bioavailability of Sun Filters in Cosmetic Products, Software vs. Expert Formulator: The Benzophenone-3 Case.
Baldisserotto, Anna; Baldini, Erika; Ravarotto, Sara; Cesa, Elena; De Lucia, Daniela; Durini, Elisa; Vertuani, Silvia; Manfredini, Stefano; Michniak-Kohn, Bozena B.
Afiliação
  • Baldisserotto A; Department of Life Sciences and Biotechnology, Section of Medicinal and Health Products, University of Ferrara, Via Fossato di Mortara 17-19, 44121 Ferrara, Italy.
  • Baldini E; Department of Life Sciences and Biotechnology, Section of Medicinal and Health Products, University of Ferrara, Via Fossato di Mortara 17-19, 44121 Ferrara, Italy.
  • Ravarotto S; Department of Life Sciences and Biotechnology, University of Ferrara, Via Fossato di Mortara 17-19, 44124 Ferrara, Italy.
  • Cesa E; Department of Life Sciences and Biotechnology, University of Ferrara, Via Fossato di Mortara 17-19, 44124 Ferrara, Italy.
  • De Lucia D; Department of Life Sciences and Biotechnology, Section of Medicinal and Health Products, University of Ferrara, Via Fossato di Mortara 17-19, 44121 Ferrara, Italy.
  • Durini E; DLD Scientific LLC, United State Corporation Agent, Inc., Pine Brook, NJ 07058, USA.
  • Vertuani S; Department of Life Sciences and Biotechnology, Section of Medicinal and Health Products, University of Ferrara, Via Fossato di Mortara 17-19, 44121 Ferrara, Italy.
  • Manfredini S; Department of Life Sciences and Biotechnology, University of Ferrara, Via Fossato di Mortara 17-19, 44124 Ferrara, Italy.
  • Michniak-Kohn BB; Department of Life Sciences and Biotechnology, Section of Medicinal and Health Products, University of Ferrara, Via Fossato di Mortara 17-19, 44121 Ferrara, Italy.
Pharmaceutics ; 14(9)2022 Aug 29.
Article em En | MEDLINE | ID: mdl-36145564
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article