Problem
Cancer treatment today largely relies on single-asset, single-indication approaches with conventional drug development pipelines that are slow, costly, and reactive. Patient stratification is limited, data and tools remain fragmented, and there is no integrated AI-plus-therapeutics ecosystem to enable predictive, personalized, and preventive oncology care. NK1R overexpression has been identified across multiple solid tumors and hematological malignancies, yet no targeted NK1R antagonist has been advanced into clinical oncology development.



