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Changing R&D; models in research-based pharmaceutical companies

Changing R&D; models in research-based pharmaceutical companies

http://www.wikidata.org/entity/Q26749511

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Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.Reflections on the Future of Pharmaceutical Public-Private Partnerships: From Input to Impact.Manufacturing of Human Extracellular Vesicle-Based Therapeutics for Clinical Use.Yeast for virus research Crowdsourcing in pharmaceutical R&D: a revolutionary concept or nothing new?Industry-Academia Partnership: The Synthesis and Solid-State Pharmaceutical Centre (SSPC) as a Collaborative Approach from Molecule to Medicine.Creating commercial value from patents: the interplay between patent protection and patent information management.Open innovation and external sources of innovation. An opportunity to fuel the R&D pipeline and enhance decision making?I'll Take My Science Spicy, Please.Dynamic Macrophages: Understanding Mechanisms of Activation as Guide to Therapy for Atherosclerotic Vascular Disease

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Changing R&D; models in research-based pharmaceutical companies

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2016 nî lūn-bûn

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2016 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2016 թվականի ապրիլին հրատարակված գիտական հոդված

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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Changing R&D; models in research-based pharmaceutical companies

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Journal of Translational Medicine

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Changing R&D; models in research-based pharmaceutical companies

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Alexander Schuhmacher

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Markus Hinder

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Oliver Gassmann

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The price of innovation: new estimates of drug development costs

How to improve R&D productivity: the pharmaceutical industry's grand challenge

Believe it or not: how much can we rely on published data on potential drug targets?

Can the pharmaceutical industry reduce attrition rates?

How were new medicines discovered?

A decade of innovation in pharmaceutical R&D: the Chorus model.

Cost of innovation in the pharmaceutical industry.

Trends in risks associated with new drug development: success rates for investigational drugs.

Diagnosing the decline in pharmaceutical R&D efficiency.

Clinical development success rates for investigational drugs.

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