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
Repurposing Drugs for Cancers of the Breast, Colon, and Ovary using Active Machine Learning and Biobank of DTC’s
Drug repurposing using the Predictive Oncology machine learning approach and proprietary biobank of frozen dissociated tumor cells (DTCs) is outlined in this new white paper.