Year: 2024
Type: article
Abstract: Rare diseases affect over three hundred million individuals globally. Investment in research and development remains incommensurate with the challenges rare diseases pose. Further investment in information sharing platforms to promote common and standardized network technologies for rare disease is needed. Rare disease R&D generates information and assets that spill over in other ways, providing benefits that may not be apparent to investors ex ante. Analytical and computational methods recently applied at scale are promising. One important way of achieving efficiencies of scale in R&D is clustering rare diseases into groups with similar traits.
Source: Frontiers in Pharmacology
Authors: Carlisle Ford Runge, Carlisle Ford Runge, James Campbell, Carlisle P. Runge, Carlisle P. Runge
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,295
Funders: University of Minnesota, Ipsen
OpenAlex ID: W4405217337