Abstract
Background: Establishment of advanced in vitro ovarian cancer organoid models provides a rapid and biologically relevant platform for testing novel cancer (immune) therapies. These ovarian models, when cultured alone or in co-culture with other cell types, serve as a great tool for predicting treatment responses in patients, discriminating different drug responses, and flagging off-target effects. In this study a high throughput platform that combines 3D cultured ovarian models with phenotype-based image analysis is presented.
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