The final, formatted version of the article will be published soon.
PERSPECTIVE article
Front. Pharmacol.
Sec. Drugs Outcomes Research and Policies
Volume 15 - 2024 |
doi: 10.3389/fphar.2024.1516725
Reframing risks in rare diseases: Economics of networks, spillovers, and scale
Provisionally accepted- 1 University of Minnesota Twin Cities, St. Paul, United States
- 2 Biomedical Advanced Research and Development Authority (BARDA), Washington, Maine, United States
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
Keywords: Rare Diseases, Economics, networks, spillovers, scale, clustering
Received: 31 Oct 2024; Accepted: 27 Nov 2024.
Copyright: © 2024 Runge, Campbell and Runge. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Carlisle Ford Runge, University of Minnesota Twin Cities, St. Paul, United States
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