Natural Language Processing for Clinical trials: supporting key decision making with NLP text mining
When: Tuesday 26th August 2020
Time: 11:00am EDT; 8:00am PDT; 4:00pm BST; 5:00pm CEST.
Duration: 60 minutes.
Clinical trials are used to gather safety and efficacy data on new drugs in development, or existing drugs being tested for new indications. Although some information in clinical trial reports is well structured and searchable using keywords, much of the information lies buried in unstructured text.
Data extraction from clinical literature is useful for competitive intelligence, meta-analysis, and clinical trial design. Such extraction, usually done manually, is often tedious and error-prone. Linguamatics NLP is a valuable technology for extracting and synthesizing the high value information that is found in unstructured text.
Eric Su at Eli Lilly will present a high-level overview of his experience using NLP for a variety of clinical trial applications, including: extracting outcome statistics and data on trial design for meta-analysis; drug repurposing; and competitive intelligence on testing multiple drug candidates within one trial.
Who should attend?
Heads of clinical development, clinical operations. Professionals, informaticians involved in clinical trial planning & analytics, strategic product & pipeline intelligence, comparative effectiveness