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.

Predictive Oncology
Accepting new applications for ACE program 2025
Following the generation of successful results with the University of Michigan through the ACE program, Predictive Oncology is now actively calling for submissions for a