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Updated: May 28, 2026
09:13
Quantitative Immunofluorescence to Measure Global Localized Translation
Published on: August 22, 2017
Translational research: current status, challenges and future strategies
1Hoffmann-La Roche Inc. 340 Kingsland Street, Nutley, New Jersey 07110-1199, USA.
American Journal of Translational Research
|November 3, 2011
Summary
Translational research advances drug development, but progress is uneven across disease areas. Predictive preclinical models and collaboration are crucial for success, despite non-scientific challenges.
Area of Science:
- Biomedical Sciences
- Drug Development
- Translational Research
Background:
- Significant advancements in biological sciences have occurred, yet breakthroughs in drug development are mixed.
- Translational research aims to bridge the gap between basic science discoveries and clinical applications.
- A recent drought in new drug development necessitates improved translational strategies.
Purpose of the Study:
- To survey the current landscape of translational research.
- To identify progress, areas needing improvement, and associated strategies.
- To highlight critical factors influencing the success of translational research.
Main Methods:
- Review of current translational research landscape.
- Analysis of progress in translational tools and preclinical models.
- Examination of the correlation between preclinical models and clinical success.
Main Results:
- Advances in translational tools are widespread.
- Predictive preclinical models are critical for successful translational research and drug approval.
- The translational cycle is completed when laboratory findings explain clinical outcomes, including side effects.
Conclusions:
- Enhanced collaboration between preclinical and clinical scientists is essential.
- Non-scientific factors significantly impact the future of translational research.
- Commitment from private industry and public resources can ensure a promising future for translational research.
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