Abstract: A deep learning pipeline can be configured to use medical image data to generate predictions of therapeutic responses to a new treatment in members of a cohort of interest of treatment candidates. A plurality of respective deep learning networks may be trained using respective medical image datasets having respective degrees of relevance to the cohort of interest. Learned parameters of one deep learning network may be transferred in succession to another deep learning network after training the one deep learning network with a one of the respective medical image datasets and before training the other deep learning network with another medical image dataset of the respective medical image datasets.