Pharma R&D Today

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Life Sciences trends that make me excited for 2020 (and beyond)

Posted on January 20th, 2020 by in Pharma R&D

Beginning a new year offers an important opportunity to reflect on the past one. I’ve been thinking a lot about what I learned in 2019, and where I believe my industry is going as we continue further into 2020.

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Finding the Corpus of Knowledge for Machine Learning/AI In Chemistry

Posted on January 14th, 2020 by in Chemistry

Machine learning for predicting chemistry is an area of intense research and publication. However, since the terminology used to describe this activity is diverse it can be difficult to identify all of the publications describing use of computers to predict chemical outcomes or retrosynthesis paths.

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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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Elsevier uses machine learning to benefit pharmacovigilance

Posted on November 7th, 2019 by in Pharmacovigilance

Monitoring the scientific literature for adverse drug reactions (ADRs) is critical to maintaining drug safety, and there is no room for error. As regulations tighten, pharmacovigilance teams are seeking better strategies and methods for ensuring that all ADRs are identified in the most effective and efficient way possible.

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