Data-driven approach could help improve allocation of biomedical research resources
Tuesday, September 15, 2015 - 15:20
in Mathematics & Economics
A new computational model developed by scientists from the University of Chicago could help improve the allocation of U.S. biomedical research resources. The tool, called the Research Opportunity Index (ROI), measures disparities between resources dedicated to a disease and its relative burden on society. ROI identifies diseases that receive a disproportionate share of biomedical resources, which represent opportunities for high-impact investment or for the realignment of existing resources. It is designed to provide an unbiased, data-driven framework to help scientific and political communities assess resource investment and identify unmet medical needs. ROI is described in the August issue of Nature Biotechnology.