Origent Data Sciences has been awarded a Phase 1 Small Business Innovation Research (SBIR) award from the NIH National Institute of Mental Health. The grant award project, titled “A Clinical Trial Enrichment Tool Based on Subgroups Defined by Machine Learning Predictive Models” marks Origent’s fourth NIH SBIR award for Chief Science Officer Dr. David L. Ennist, who will be the primary investigator for this project.
This work will develop Detectable Effect Cluster (DEC) analysis, a novel machine-learning based method of subgroup analysis. DEC analysis shows great promise in identifying patient subgroups with statistically significant drug effects within larger, more heterogeneous, failed therapeutic clinical trials. DEC analysis has the potential for use in rescuing drug programs that otherwise would have been discarded as a drug that does not provide therapeutic benefit, when, in fact, the opposite is true.