Discusses two alternative approaches to estimating variance components in twin models: (a) estimating the path coefficients from the latent variables to the phenotypes and fixing the variances of the ...

This video discusses how to fit the saturated twin model in OpenMx, which estimates the twin means, variances, and covariances without estimating latent variances (VA, VD, and VC) to test basic data ...

and reliable digital twin models. This technology refers to the integration of data from different sources into a unified model. In digital twin modelling, the multiple data source integration ...

Researchers at the University of Chicago have developed a new generative artificial intelligence (AI) tool that models the infant microbiome. This “digital twin” of the infant microbiome ...