Schriftenreihe Masterstudiengang Consumer Health Care
eBook - ePub

Schriftenreihe Masterstudiengang Consumer Health Care

An Accelerator for The Research and Development Engine?

,
  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Schriftenreihe Masterstudiengang Consumer Health Care

An Accelerator for The Research and Development Engine?

,

About this book

Raising costs, ever-increasing regulatory hurdles, and mounting difficulties in finding the next blockbuster drug are just a few of the challenges Big Pharma currently has to face for its research and development process, the heart of its risky business. Big Data claims to be full of insights that Big Pharma need to find a way of harvesting, which could lead to new compounds. Academics, Big Data start-ups, and pharmaceutical companies have focused their research efforts on analytic tools and data technologies to store, collect, analyse, and extract these insights from massive data sets. However, the key question is whether the Big Data hype really does have the claimed accelerating effect on the complex research and development process or if it actually creates another hurdle for Big Pharma innovation. Malena Johannes' timely book sheds light on this question by examining the top 5 pharmaceutical companies and provides an overview on the status quo of Big Data applications within the pharmaceutical industry.

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Yes, you can access Schriftenreihe Masterstudiengang Consumer Health Care by in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher
ibidem
Year
2016
eBook ISBN
9783838269429
Edition
0

Table of contents

  1. Cover
  2. Table of Contents
  3. Abbreviations
  4. Summary
  5. 1. Introduction
  6. 2. Objectives and scope
  7. 3. The innovation gap in R&D for the pharmaceutical industry
  8. 4. Can Big Data overcome the innovation gap?
  9. 5. Online research: Use and impact of Big Data for R&D among top 5 pharmaceutical companies
  10. 6. Conclusion: Derived strategies to leverage Big Data for R&D
  11. 7. Key findings and future outlook
  12. 8. Reference List
  13. 9. Appendices
  14. Notes
  15. Series
  16. Copyright