LLM-operated precision digitizer for biomedical graphs (PK/PD, dose-response, Kaplan-Meier, scatter/line/bar/box/forest, heatmaps, swimmer plots) with calibrated uncertainty and model fits.
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Updated
Jul 5, 2026 - Python
LLM-operated precision digitizer for biomedical graphs (PK/PD, dose-response, Kaplan-Meier, scatter/line/bar/box/forest, heatmaps, swimmer plots) with calibrated uncertainty and model fits.
A curated, citation-backed dataset of anesthetic and perioperative PK/PD model parameters featuring machine-enforced applicability envelopes, forward simulation, model-divergence visualization, and automated exports to standard pharmacometric formats like NONMEM, SBML, and Pumas.
R Shiny application for NONMEM workflows: create control streams, run NONMEM models, explore data and results, generate diagnostic plots and GOF, compare runs, and perform VPC, jackknife and sensitivity analyses.
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