Literature reviews are a crucial part of life sciences research. They can reveal gaps in the existing research, provide information on unmet needs, and inform new market strategies.
Even regulatory bodies rely heavily on literature reviews to help shape clinical guidelines and evaluate the effectiveness of treatments through statistical processes such as network meta-analysis. But there’s a catch – traditional ways of performing literature reviews are time-consuming and labor-intensive.
Now, by enlisting natural language processing, researchers can reduce the time required to perform literature reviews by half, giving researchers more time to perform deeper review and analysis.
This white paper shows how today’s data scientists are learning to combine human accuracy with AI speed. Download this white paper to learn how it’s done.