Implementation of a longitudinal multi-omics prediction model for response to immune checkpoint inhibition Ghent University
Treatment with immune checkpoint inhibitors (ICIs) is becoming the systemic “standard of care” for an increasing number of cancer patients. The purpose of this treatment is boosting the host immune system to destroy the cancer cells but, unfortunately, it is very costly and only a fraction of patients (20-40%) show response. Accurate and rapid prediction of response could avoid undergoing this costly treatment unnecessarily while enabling ...