Preclinical & Translational Immunooncology

The demand for predictive and robust preclinical models and approaches to minimize translational failures in immuno-oncology is at an all-time high. The need for leveraging phenotypic features of models, for early identification of predictive biomarkers, for rational design of combination therapies, and for researching the cancer-immune cell interactions add to the complexity of translational research in immune-oncology.

 

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