Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Betsy Davis

Betsy Davis

Senior Strategic Marketing Manager

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About the author: Betsy’s entire marketing career has exclusively focused on the STEM market, with a distinct emphasis on Pharma. During her tenure with Elsevier’s Corporate R&D group, she has managed market segmentation for the pharma and life sciences industry, and launched and manages The Hive, a partnership with a select group of biotech and pharmaceutical start-ups focused on early stage innovation in drug discovery and development. The program promotes collaboration and inspiration across the Pharma & Life Sciences industry. Prior to launching her marketing career, Betsy worked as a management consultant focused on strategy implementation. She holds an MBA from the University of Michigan’s Ross School of Business and a BA from Barnard College of Columbia University.

Posts by Betsy Davis

Pharma Companies United By a Need for Common Data Models

Posted on October 18th, 2017 in Pharma R&D

There is nothing that pharmaceutical companies guard more fiercely than their intellectual property. Devising and patenting the next big wonder drug is every company’s dream (more…)

A Visit to Arctic Pharma in Oslo, Norway

Posted on October 16th, 2017 in Pharma R&D

In Norway, a land that evokes images of rough-hewn Scandinavians, icy natural beauty and old wooden Viking ships, there is in fact a great deal of investment currently being put into not-so-rugged things like cutting-edge new labs and state-of-the-art scientific research.

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2017 Nobel Chemistry Prize Awarded for Developments in Cryo-electron Microscopy

Posted on October 4th, 2017 in Chemistry

One of the year’s most exciting moments for the global chemistry community is here today, as The Royal Swedish Academy of Sciences has made its choice for the Nobel Prize in Chemistry 2017. (more…)

Artificial Intelligence Comes to the Life Sciences

Posted on September 18th, 2017 in Pharma R&D

Advances in neural network technology are making it possible to ‘teach’ machines more rapidly—and this machine learning can have big implications for the healthcare and life sciences industry. (more…)

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