The high rates of clinical failure of new anticancer drugs highlight that the standard approaches to evaluate drug efficacy do not faithfully reproduce human biology, and thus, do not accurately represent the disease processes or response to treatment. In this webinar we will discuss how tumor-specific 3D culture models can be used to improve the accuracy of drug testing. We will also highlight the advantages of using multimodal readout to evaluate multiple parameters associated with cellular response to anticancer drugs.
White Paper
Heterogeneous and curated biobank of live-cell tumor samples retains highly reproducible drug response data for drug and biomarker discovery
White paper validates highly reproducible drug response data. Results enable AI platform to model and predict patient outcomes on historical samples Leveraging more than 20