Reproducible, submission-ready descriptive analyses with validated domains
Understand drug kinetics at the patient level through descriptive exposure metrics, generated with validated, submission-ready software. Incorporate key endpoints and covariates, such as biomarkers or anti-drug antibodies, to statistically evaluate differences in exposure across patient groups. NCA additionally enables bioavailability and bioequivalence analyses.
What's included
- Validated domain generation
- Submission-ready analyses and documentation
Non-Compartmental Analysis (NCA) is the standard, model-independent way to characterize drug exposure, deriving parameters like AUC, Cmax, and half-life directly from concentration-time data. A2-Ai delivers NCA as part of its scientific services, run in reproducible, validated environments so results are consistent, traceable, and submission-ready, and increasingly powered by NCAkit, A2-Ai’s high-performance NCA engine benchmarked against Phoenix WinNonlin and PKNCA. Because the same analyses run on A2-Ai Cloud with reproducible R workflows and Portunus-managed data uploads, your NCA outputs carry the environment capture and audit trail regulators expect.
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