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Feature Story

Cover Story: Strategy: Abandoning linear thinking

Why new preclinical model systems could improve clinical success rates

By Lauren Martz, Senior Writer

Drug developers are coming to believe that a major rethink of the traditional bench-to-bedside model in early drug discovery might be the best way to bring down the high rates of clinical trial failures. At an FDA meeting on improving productivity in R&D, stakeholders from industry, academia and government advocated a shift towards validating targets from the outset by incorporating new technologies, patient samples and systems pharmacology, instead of the linear process used today that's based on a series of assays far removed from clinical relevance.

Last month, the Brookings Institution's Center for Health Policy joined with FDA and the International Consortium for Innovation & Quality in Pharmaceutical Development to host a meeting that discussed interventions to improve clinical trial success at each stage of drug development from target validation to clinical outcomes.

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    This week in therapeutics includes important research findings on targets and compounds, grouped first by disease class and then alphabetically by indication.

    This week in techniques includes findings about research tools, disease models and manufacturing processes that have the potential to enable or improve all stages of drug discovery and development.

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