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Multiple studies show that therapies for multi-diseases can lead to dangerous reactions and high healthcare costs due to their adverse drug-drug, drug-gene, and drug-condition interactions. In this paper, we present the results of using PM-TOM (Personalized Medicine Therapy Optimization Method) for finding therapies that minimize these interactions. The testing of the method was performed on the repository of electronic medical records of the Harvard Personal Genome Project (PGP), and the public databases of the drug and genetic information: DrugBank and Comprehensive Toxicogenomics Database (CTD). The results presented in this paper showed a significant potential of PM-TOM for reducing the cumulative adverse drug interactions in therapies for common multi-diseases.
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