Abstract
Excitement around and investment in oncology drug development are at unprecedented levels. To maximize the health impact and productivity of this research and development investment, quantitative modeling should impact key decisions in early clinical oncology including Go/No-Go decisions based on early clinical data, and dose selection for late stage studies.
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CITATION STYLE
APA
Mayawala, K., de Alwis, D. P., & Sachs, J. R. (2019). Model informed drug development: Novel oncology agents are lost in translation. Clinical Cancer Research, 25(22), 6564–6566. https://doi.org/10.1158/1078-0432.CCR-19-2482
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