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.
python json-schema systems-biology computational-biology open-data survival-analysis pharmacometrics sbml oncology nonmem pkpd drug-development quantitative-systems-pharmacology modeling-and-simulation pumas rxode2 translational-medicine tumor-growth-inhibition virtual-trials exposure-response
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Updated
Jun 23, 2026 - Python