The NIH/NIGMS
Center for Integrative Biomedical Computing

uncertainSCI

Model and Parametric Uncertainty

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty.

download-button-on
Please join us on June 25th for the Uncertainty Quantification Workshop
as part of the 11th biennial meeting on Functional Imaging and Modeling of the Heart (FIMH-2021)

Overview
Documentation
Support
Acknowledgements

UncertainSCI

UncertainSCI is a Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.



Introduction to UncertainSCI

Applications

Background Math

Cardiac Bioelectricity

Brain Neuromodulation










Acknowledgements

Please include the following acknowledgement in work using this software:
"This work was supported by the National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under grant number U24EB029012”