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Understanding Hematological Toxicities Using Mathematical Modeling
Author(s) -
Fornari Chiara,
O'Connor Lenka Oplustil,
Yates James W.T.,
Cheung S.Y. Amy,
Jodrell Duncan I.,
Mettetal Jerome T.,
Collins Teresa A.
Publication year - 2018
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.1080
Subject(s) - toxicity , limiting , drug toxicity , bone marrow , risk analysis (engineering) , computer science , medicine , drug , pharmacology , intensive care medicine , engineering , immunology , mechanical engineering
Balancing antitumor efficacy with toxicity is a significant challenge, and drug‐induced myelosuppression is a common dose‐limiting toxicity of cancer treatments. Mathematical modeling has proven to be a powerful ally in this field, scaling results from animal models to humans, and designing optimized treatment regimens. Here we outline existing mathematical approaches for studying bone marrow toxicity, identify gaps in current understanding, and make future recommendations to advance this vital field of safety research further.