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Expert Opinion on Drug Discovery Volume 12, 2017 - Issue 8
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Review

Current mathematical models for cancer drug discovery

Letizia CarraraDipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, ItalyView further author information
,
Silvia Maria LavezziDipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, ItalyView further author information
,
Elisa BorellaDipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, ItalyView further author information
,
Giuseppe De NicolaoDipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, ItalyView further author information
,
Paolo MagniDipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, ItalyView further author information
&
Italo PoggesiGlobal Clinical Pharmacology, Janssen Research and Development, Cologno Monzese, ItalyCorrespondence[email protected]
View further author information
Pages 785-799 | Received 31 Mar 2017, Accepted 06 Jun 2017, Published online: 22 Jun 2017

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Silvia Maria Lavezzi, Elisa Borella, Letizia Carrara, Giuseppe De Nicolao, Paolo Magni & Italo Poggesi. (2018) Mathematical modeling of efficacy and safety for anticancer drugs clinical development. Expert Opinion on Drug Discovery 13:1, pages 5-21.
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Articles from other publishers (1)

Laura-Ancuta Pop, Oana Zanoaga, Paul Chiroi, Andreea Nutu, Schuyler S. Korban, Cristina Stefan, Alexandru Irimie & Ioana Berindan-Neagoe. 2021. Drug Design - Novel Advances in the Omics Field and Applications. Drug Design - Novel Advances in the Omics Field and Applications.

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