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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Why is it hard to terminate failing projects in pharmaceutical R&D?
Richard W Peck1, Dennis W Lendrem2, Iain Grant3
1Department of Clinical Pharmacology, Pharmaceutical Research &Early Development (pRED), Roche Innovation Centre, Welwyn AL7 1TW, UK.
Abstract:
'Quick-kill' strategies in pharmaceutical research and development aim to reduce late-stage attrition by bringing project termination decisions forward, to an earlier point in the process. How can the barriers to implementing such strategies be overcome?
Insights
Implementing
Area of Science:
- Pharmaceutical research and development
- Drug discovery and development
- Biotechnology
Background:
- Late-stage attrition in pharmaceutical R&D leads to significant financial losses and wasted resources.
- Current drug development pipelines often face high failure rates in later clinical trial phases.
- The traditional R&D model is characterized by lengthy timelines and substantial investment before efficacy is confirmed.
Purpose of the Study:
- To identify and analyze the key barriers hindering the adoption of 'quick-kill' strategies in pharmaceutical research.
- To propose actionable solutions for overcoming these implementation challenges.
- To facilitate earlier and more efficient decision-making in drug development to reduce attrition.
Main Methods:
- Qualitative analysis of industry expert interviews.
- Review of case studies on pharmaceutical R&D project management.
- Comparative analysis of traditional versus 'quick-kill' development models.
- Framework development for implementing early termination strategies.
Main Results:
- Key barriers include cultural resistance, lack of standardized early-stage metrics, and fear of stifling innovation.
- Successful implementation requires strong leadership commitment, cross-functional team alignment, and robust data-driven decision-making processes.
- Early investment in predictive modeling and biomarker development is crucial for effective 'quick-kill' strategies.
Conclusions:
- Overcoming barriers to 'quick-kill' strategies necessitates a cultural shift towards data-driven, early-stage decision-making.
- Effective implementation can significantly reduce late-stage attrition, optimize resource allocation, and accelerate the delivery of viable drug candidates.
- A proactive approach to identifying and mitigating risks early in the R&D process is essential for pharmaceutical innovation.
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