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Clinical trials form the cornerstone of evidence-based medicine and are essential to establishing the safety and efficacy of new drugs. However, only some of the information in clinical trial reports is well-structured and searchable via keywords; much of the information is buried in unstructured text.In the past, uncovering actionable insights from this unstructured text meant that documents such as clinical trial reports had to be searched and read individually, a process that can be time-consuming and subject to human error. It is estimated that 80% of clinical data is unstructured and difficult to analyze.
To overcome these limitations, life sciences companies are using natural language processing (NLP), an artificial intelligence-based technology that extracts and synthesizes high-value information hidden in unstructured text. NLP-based text mining solutions can an…