Hybrid computational modeling demonstrates the utility of simulating complex cellular networks in type 1 diabetes.

ABSTRACT: Persistent destruction of pancreatic β-cells in type 1 diabetes (T1D) results from multifaceted pancreatic cellular interactions in various phase progressions. Owing to the inherent heterogeneity of coupled nonlinear systems, computational modeling based on T1D etiology help achieve a systematic understanding of biological processes and T1D health outcomes. The main challenge is to design such a reliable framework to analyze the highly orchestrated biology of T1D based on the knowledge of cellular networks and biological parameters. We constructed a novel hybrid in-silico computational model to unravel T1D onset, progression, and prevention in a non-obese-diabetic mouse model. The computational approach that integrates mathematical modeling, agent-based modeling, and advanced statistical m

SUBMITTER: Shi Z 

PROVIDER: S-EPMC8496846 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature