Embracing Dynamic Models for Gene Drive ManagementA. J. Golnar, E. Ruell, A. L. Lloyd and K. M. Pepin, Trends in Biotechnology, 2020.
We describe how quantitative tools can reduce risk uncertainty, streamline empirical research, guide risk management, and promote cross-sector collaboration throughout the process of gene drive technology development and implementation.
Keywords: decision making, gene drive models, gene drive synthetic, GMO, Population genetics, regulation, risk assessment, uncertainty
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National Institutes of Health