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. Author manuscript; available in PMC: 2019 Jun 6.
Published in final edited form as: Nat Rev Drug Discov. 2019 Jun;18(6):463–477. doi: 10.1038/s41573-019-0024-5

Fig. 4 |. Utilizing predictive biomarkers to support drug discovery and development.

Fig. 4 |

A drug sensitivity predictive model (yellow box) can be generated using machine learning approaches on preclinical data. The model could then be tested using data from early-stage clinical patient samples. Once validated, the model could be used for patient stratification and/or disease indication selection to support the clinical development of a drug, as well as to infer its mechanism of action. EN, elastic net; IHC, immunohistochemistry; MOA, mechanism of action; RF, random forest; SVM, support vector machine.