BINYAMINA, Israel , Nov. 7, 2022 /PRNewswire/ — OncoHost, a global leader in next-generation precision oncology for improved personalized cancer therapy, has developed a novel predictive model for clinical benefit of immune checkpoint inhibitors (ICI) in non-small cell lung cancer (NSCLC) patients. The model is based on proteomic profiling of pre-treatment blood samples, combined with machine learning analysis that accurately predicts clinical benefit probability at twelve months, outperforming the predictive capabilities of the existing PD-L1 biomarker. The study was conducted using OncoHost’s first-of-its-kind PROphet® platform, and will be presented as a poster at the Society for Immunotherapy of Cancer’s (SITC) 37th Annual Meeting.

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