Pharma R&D Today

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A Hackathon Demonstrates the Need for Deep Learning in R&D

Posted on January 12th, 2018 by in Pharma R&D

Today’s life science companies find themselves dealing with an interesting dilemma. With the help of many technological breakthroughs, they now have access to tons of data bursting with potential. Continue reading “A Hackathon Demonstrates the Need for Deep Learning in R&D” »

Where and How to Find Co-Occurrences in Disease Biology Research

Posted on July 29th, 2016 by in Chemistry

In research, a co-occurrence refers to two linked concepts appearing within one sentence. In disease biology, a good example would be a sentence with facts that link a protein to a disease, biological functions or other proteins. Continue reading “Where and How to Find Co-Occurrences in Disease Biology Research” »

How Much Can Text-Mining Tools Achieve?

Posted on July 25th, 2016 by in Chemistry

Text mining has become an essential tool in the arsenal of disease biologists, medicinal chemists and other drug developers. There simply isn’t the time for a researcher to read all the relevant published literature to find answers— Continue reading “How Much Can Text-Mining Tools Achieve?” »

Text Mining for Pharmacovigilance Purposes

Posted on July 7th, 2016 by in Pharmacovigilance

Text mining, or text data mining, is the process of retrieving relevant information from large amounts of ‘unstructured’ text with the help of automated pattern learning. Continue reading “Text Mining for Pharmacovigilance Purposes” »

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