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Robust Prediction of Patient-Specific Clinical Response to Unseen Drugs From in vitro Screens Using Context-aware Deconfounding Autoencoder

2021-05-22

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<h4>ABSTRACT</h4> Accurate and robust prediction of patient-specific responses to drug treatments is critical for drug development and personalized medicine. However, patient data are often too scarce to train a generalized machine learning model. Although many methods have been developed to utilize cell line data, few of them can reliably predict individual patient clinical responses to new drugs due to dat...

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Literature Corpus work: fefe3650-18d5-58fa-98a9-61469a94d91f
DOI: 10.1101/2021.05.20.445055

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Robust Prediction of Patient-Specific Clinical Response to Unseen Drugs From <i>in vitro</i> Screens Using Context-aware Deconfounding Autoencoder

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