Pharma R&D Today

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Help data sets along on their journey to meaningful insights

Posted on September 25th, 2018 by

Chemistry

data science

Applying data sets to solve complex problems can be a challenging task, and Elsevier seeks talented individuals in data science and other fields to join us in our mission to lead the way in advancing science, technology and health. Continue reading “Help data sets along on their journey to meaningful insights” »

Embracing the new in cheminformatics

Posted on August 17th, 2018 by

Chemistry

Dataconnections

Two centuries of innovation in chemistry research methods

The true mark of an innovation is its impact on our behavior. All the great innovations of history, big and small, have changed how people have approached tasks in their personal and professional lives. As we celebrate 30 years of the chemistry research solution Reaxys, Continue reading “Embracing the new in cheminformatics” »

Upcoming Symposium Applies Big Data methods to Cheminformatics and Retrosynthetic analysis

Posted on July 27th, 2018 by

Pharma R&D

Reaxys & ACS

Although the fields of cheminformatics and retrosynthetic analysis have been well established for a number of decades, there has recently been a large increase in applying methods from the world of Big Data and Predictive Analytics to the field of chemical reactions. Continue reading “Upcoming Symposium Applies Big Data methods to Cheminformatics and Retrosynthetic analysis” »

AI Can Work Wonders, But Can It Create Miracle Cures?

Posted on June 19th, 2018 by

Pharma R&D

artificial-intelligence-3382507_1920

Modern technology seems downright magical at times. There are so many things that it can do for us at the push of a button, whether it’s our personal devices instantly retrieving information or massive industrial machines Continue reading “AI Can Work Wonders, But Can It Create Miracle Cures?” »

The Future of Chemistry R&D Will Depend on Deep Learning

Posted on June 7th, 2018 by

Pharma R&D

change-671374_640

A recent survey of chemists, carried out by Elsevier’s Reaxys team, showed that only 13% identified a familiarity with machine learning (or similar technologies) as being important for future chemists. Continue reading “The Future of Chemistry R&D Will Depend on Deep Learning” »

Cancer-killing combo: Viagra and the flu vaccine

Posted on June 6th, 2018 by

Pharma R&D

Cancer injection

“Strange bedfellows” doesn’t even begin to describe the drug combination that a new study published in OncoImmunology suggests may actually work together to combat cancer. Continue reading “Cancer-killing combo: Viagra and the flu vaccine” »

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About this Blog

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The Elsevier Pharma R&D blog provides insight and opinion on topics related to pharmaceutical research and development, namely: big data, target identification, new drug discovery, drug safety monitoring, risk mitigation and regulatory compliance. We serve the community of chemists, scientists, drug safety specialists, educators and students interested in pharmaceutical R&D.

Editor’s note: The views and opinions expressed are those of the author and do not necessarily reflect the views of Elsevier,  its affiliates and sponsors or its parent company, Reed Elsevier.