GNS Healthcare, Inc., (GNS) the leading healthcare analytics company focused on enabling personalized medicine to improve human health, announced the publication of results from a study focused on identifying novel drug targets for the one-third of rheumatoid arthritis patients who do not respond to leading anti-TNF therapies. The paper, titled "Causal Modeling Using Network Ensemble Simulations of Genetic and Gene Expression Data Predicts Genes Involved in Rheumatoid Arthritis," by researchers at GNS Healthcare and Biogen Idec (Nasdaq: BIIB) was published in the journal PLoS Computational Biology. The paper describes the experimental and computational approach used by the researchers to integrate clinical, molecular and genetic data into dynamic models of disease progression and drug response. This approach helped predict individual patients' clinical responses to the shutting down of specific pathways, suggesting that accurate determinations can be made about patients' responses to existing drugs as well as to the inhibition of novel targets and pathways based on DNA sequence and gene expression data from a given patient's blood.
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