Pharma R&D Today

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

Posted on June 7th, 2018 by in Pharma R&D

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” »

Big Talks on Big Data are Coming to Bio IT World

Posted on May 9th, 2018 by in Pharma R&D

At next week’s Bio IT World conference and expo (Boston, May 15-17), Elsevier will be giving four talks on the implications of AI and machine learning on life science research, a statistical analysis of concordance between animal toxicities and human adverse events, strategies for increasing data sharing and the latest technologies being used to integrate multiple data sources. Continue reading “Big Talks on Big Data are Coming to Bio IT World” »

Solving Global Research Challenges with Artificial Intelligence

Posted on January 8th, 2018 by in Pharma R&D

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In the 21st century, we are facing a number of enormous global challenges. Simply producing enough food and clean water to nourish the planet’s growing population is one of the biggest difficulties. Meanwhile, we must also deal with the ravages of climate change and take on medical problems like antibiotic resistance. Continue reading “Solving Global Research Challenges with Artificial Intelligence” »

Quantitative Proteomics: A Major Piece in the Precision Medicine Puzzle

Posted on December 22nd, 2017 by in Pharma R&D

Our genetic make-up, where we live and how we live, are all important factors to consider when we are dealing with disease. For a very long time, medicine has mostly been designed to treat the sickness without much thought to the individual who has it. Continue reading “Quantitative Proteomics: A Major Piece in the Precision Medicine Puzzle” »

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