Text Mining And Machine Reading: The Answer To Pharma's R&D Data Mountain?

How to make the most of the wealth of raw data in pharmaceutical R&D is an increasing challenge for the industry. The digital revolution is already having an impact in areas like clinical trials, and pharma is also starting to embrace new technologies in drug discovery.

Tortoise
Could machine reading help to quench pharma's drug discovery thirst? • Source: Shutterstock

Technology is expected to revolutionize parts of the life science industry, and slowly but surely pharma is embracing digital features in different aspects of its operating models – with clinical trials and disease management being the most popular starting points. But can technology prevent drug developers' early-stage pipelines from drying out?

As industry's "big data" buzz has intensified over the last few years, programs for "data mining," "machine reading," and "machine learning" have become increasingly popular.

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