Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Bringing Scalability Into Chemistry Modeling

Posted on November 18th, 2020 by in Chemistry

Synthetic chemistry has been with us for centuries, but it is now entering a new frontier. Big data, AI and machine learning are unlocking a predictive power that is transforming the conceptualization and optimization of synthetic routes.

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The Dawn of a European Health Data Space – Challenges

Posted on July 16th, 2020 by in Pharma R&D

The European data strategy aims to construct common data spaces for all, create a single EU market for data, and catalyze a dynamic data economy. In a previous post, we briefly described the essence of the envisioned heath data space and pointed at opportunities and possible starting points to transform this vision into reality.

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What were the most important lessons in Life Sciences in 2019?

Posted on December 20th, 2019 by in Pharma R&D

As 2019 comes to a close, we asked members of Elsevier’s Life Sciences team:

What were the biggest lessons or most noteworthy developments in the Life Sciences industry this year?

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Machine Learning Could Make Drug Discovery Faster, Cheaper, Better

Posted on November 6th, 2018 by in Pharma R&D

The stats on the increasingly high cost (and low success rates) in drug discovery are always jarring. As Phee Waterfield of Binary District Journal reports:

  • Bringing a new drug to market is estimated to cost major pharma firms more than $4 billion
  • The process can take 10-15 years
  • Fewer than 10% actually make it to market

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