A curated, tier-annotated dataset and simulation engine of tumor-growth-inhibition (TGI) and exposure-response models that quantifies model-selection risk in oncology drug development, exported directly into standard pharmacometric and systems-biology formats like NONMEM, SBML, and rxode2.
pythonjson-schemasystems-biologycomputational-biologyopen-datasurvival-analysispharmacometricssbmloncologynonmempkpddrug-developmentquantitative-systems-pharmacologymodeling-and-simulationpumasrxode2translational-medicinetumor-growth-inhibitionvirtual-trialsexposure-response
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Updated
Jun 23, 2026 - Python