Pharma R&D Today

Machine Learning Could Make Drug Discovery Faster, Cheaper, Better

Posted on November 6th, 2018 by Jabe Wilson 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

Continue reading “Machine Learning Could Make Drug Discovery Faster, Cheaper, Better” »

Embracing the new in cheminformatics

Posted on August 17th, 2018 by Prima Sung in Chemistry

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” »

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

Posted on June 19th, 2018 by Christy J. Wilson in Pharma R&D

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 Matthew Clark 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” »