Hybrid modeling at its core: Seamlessly integrates domain-linked NLME structures with neural network components that capture residual dynamics.
Effective in small-data regimes: Leverage prior knowledge and mechanistic structure to overcome sparse datasets—a game‑changer in early development.
Uncover hidden relationships: Embed complex predictive factors from patient data directly into models to make richer inferences.
Transparent and traceable workflows: Built within Pumas; retains familiar NLME diagnostic workflows with no trade-offs in interpretability or regulatory confidence.
Embed SOPs, customize TLFs, tailor reporting, and automate routine analyses.
Avoid repetitive tasks, high QC overhead and need for other statistical software.
Complete your work most efficiently in fully-validated and simple to license PumasCP.
Perform NLME, Optimal Design, Bayesian, SAEM, Clinical Trial Simulations, ML, NCA, BE analyses all within one integrated software.
Avoid loss of productivity, cost of maintaining multiple software and lack of latest innovative technologies.
Double your think time!
