Opportunities for Quantitative Translational Modeling in Oncology-Reference-Cited by-同舟云学术

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Opportunities for Quantitative Translational Modeling in Oncology

Published:2020-07-25 Issue:3 Volume:108 Page:447-457
ISSN:0009-9236
Container-title:Clinical Pharmacology & Therapeutics
language:en
Short-container-title:Clin. Pharmacol. Ther.

Author:

Yates James W.T.¹,Byrne Helen²,Chapman Sonya C.³,Chen Tao⁴,Cucurull‐Sanchez Lourdes⁵,Delgado‐SanMartin Juan⁶,Di Veroli Giovanni¹,Dovedi Simon J.¹,Dunlop Carina⁴,Jena Rajesh⁷,Jodrell Duncan⁷,Martin Emma⁸,Mercier Francois⁹,Ramos‐Montoya Antonio¹,Struemper Herbert⁵,Vicini Paolo¹⁰

Affiliation:

1. AstraZeneca Cambridge UK

2. University of Oxford Oxford UK

3. Eli Lilly London UK

4. University of Surrey Surrey UK

5. GSK Brentford UK

6. Fuel3D Oxford UK

7. University of Cambridge Cambridge UK

8. University of Leicester Leicester UK

9. Roche Basel Switzerland

10. Kymab Cambridge UK

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpt.1963

Reference106 articles.

1. International Agency of Research on Cancer.World cancer factsheet(2012) .

2. Cancer Research UK.World Cancer Statistics(2018) .

3. Innovation in the pharmaceutical industry: New estimates of R&D costs

4. Evaluate.World Preview 2019 Outlook to 2024(2019). .

5. Preclinical pharmacokinetic/pharmacodynamic/efficacy relationships for alisertib, an investigational small-molecule inhibitor of Aurora A kinase

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