Pharma R&D Today

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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

A Novelty Metric for Evaluating Journal Articles and Authors

Posted on July 7th, 2020 in Pharma R&D

Scientists have long looked for ways to measure the impact and value of their research. In this article we propose a new metric that attempts to measure the recency of the facts discussed in an article.


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

Posted on January 14th, 2020 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.


AI in the life sciences – the good, the bad and the ugly

Posted on November 7th, 2018 in Pharma R&D

Everyone in the life science industry – from the C-suite in the boardroom to scientists at the bench – are talking about the potential of AI, especially now they’re starting to see pharma companies using the technology. And we are beginning to see researchers mixing diverse kinds of data together – images, text and numeric data to name a few – to learn from. (more…)

Using data for good to solve humanitarian issues

Posted on October 16th, 2018 in Pharma R&D

Researchers are increasingly using their domain expertise to tackle many of the world’s problems such as hunger, pandemics and other societal issues. When I worked for a pharma company I was continually surprised experienced pharmacologists could tell me which toxicology events in animals were predictive of human responses and which events could be safely ignored. (more…)

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