Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

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Matthew Clark

Matthew Clark

Life Sciences R&D Solution Consultant

Connect with Matthew Clark on LinkedIn

About the author: Matthew Clark, Ph. D, Life Sciences R&D Solution Consultant Matthew has extensive experience working in pharmaceutical research in informatics, patient safety, and drug design. He is the author of many publications dealing with predictive models. At Elsevier he uses this experience to design and implement information solutions for customers.

Posts by Matthew Clark

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

Posted on June 7th, 2018 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. (more…)

How Pharma Can Make the Most of Gene Tech CRISPR

Posted on December 18th, 2017 in Pharma R&D


The gene-editing technology CRISPR, which stands for ‘clustered regularly interspaced short palindromic repeats,’ is one of today’s most-talked-about scientific innovations. In just a few years, it’s gone from being a barely known entity to becoming a regular presence in scientific literature. (more…)

Connecting the data sources to understand the safety of bioactivities

Posted on June 16th, 2017 in Pharma R&D

Earlier this week, I was in Berlin, Germany speaking for the Elsevier Professional Services team at the Drug Discovery Summit (Monday, June 12, 15:30) at the Hotel Palace Berlin on informatics analyses to provide early warning for clinical issues from bioassay results. (more…)

Predictive Analytics for Drug Discovery

Posted on September 28th, 2016 in Pharma R&D

The drive to predict molecular properties and thereby reduce lab testing and focus research projects started before the invention of the computer; a notable advance was with the Hammett equation in the 1930’s.[1]  (more…)

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