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ABSTRACT: Background
Maximizing efficiency in drug development is important for drug developers, policymakers, and human subjects. Limited funds and the ethical imperative of risk minimization demand that researchers maximize the knowledge gained per patient-subject enrolled. Yet, despite a common perception that the current system of drug development is beset by inefficiencies, there remain few approaches for systematically representing, analyzing, and communicating the efficiency and coordination of the research enterprise. In this paper, we present the first steps toward developing such an approach: a graph-theoretic tool for representing the Accumulating Evidence and Research Organization (AERO) across a translational trajectory.Methods
This initial version of the AERO model focu
SUBMITTER: Hey SP
PROVIDER: S-EPMC3673838 | biostudies-literature | 2013 May
REPOSITORIES: biostudies-literature