While at UC San Diego, Sinopia scientists and colleagues constructed personalized models to determine personalized side effects based on patients' blood samples. The study was basd on genomic and metabolomics data obtained from blood samples of 24 individuals. Researchers used these data to build a personalized, predictive model for each individual. Researchers then used these predictive models to understand why some individuals experienced side effects to ribavirin. The work was published in Cell Systems on October 28, 2015.
See also, UC San Diego press release and GEN News Highlight