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Expert Opinion on Drug Metabolism & Toxicology Volume 20, 2024 - Issue 7: Innovations in predictive toxicology
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Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives

Maria Vittoria Togoa Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Fabrizio Mastroloritoa Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Angelica Orfinoa Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Elisabetta Anna Grapsb ARESS Puglia - Agenzia Regionale strategica per laSalute ed il Sociale, Presidenza della Regione Puglia”, Bari, ItalyView further author information
,
Anna Rita Tondoa Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Cosimo Damiano Altomarea Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Fulvio Ciriacoc Department of Chemistry, Universitá degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
,
Daniela Trisciuzzia Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyCorrespondence[email protected]
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,
Orazio Nicolottia Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyCorrespondence[email protected]
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&
Nicola Amorosoa Department of Pharmacy - Pharmaceutical Sciences, Università degli Studi di Bari “Aldo Moro”, Bari, ItalyView further author information
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Pages 561-577 | Received 05 Sep 2023, Accepted 20 Dec 2023, Published online: 29 Dec 2023

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Nguyen Quoc Khanh Le, Thi-Xuan Tran, Phung-Anh Nguyen, Trang-Thi Ho & Van-Nui Nguyen. (2024) Recent progress in machine learning approaches for predicting carcinogenicity in drug development. Expert Opinion on Drug Metabolism & Toxicology 20:7, pages 621-628.
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Articles from other publishers (3)

Mehmet Ali Yucel, Ercan Adal, Mine Buga Aktekin, Ceylan Hepokur, Nicola Gambacorta, Orazio Nicolotti & Oztekin Algul. (2024) From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors. ChemMedChem.
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Katherine L. Steeves, Jenna Hanrahan, Nikita E. Harvey, Karl J. Jobst & Lindsay S. Cahill. (2024) Fluorotelomer ethoxylates cause developmental toxicity in mice. Environmental Science: Advances 3:4, pages 603-610.
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Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, Daniela Trisciuzzi, Viviana Giannuzzi, Fedele Bonifazi, Antonella Liantonio, Paola Imbrici, Annamaria De Luca, Cosimo Damiano Altomare, Fulvio Ciriaco, Nicola Amoroso & Orazio Nicolotti. (2024) TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity. Chemical Research in Toxicology 37:2, pages 323-339.
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