Presenters: Jane Reed, Head of Life Science Strategy, Linguamatics
Dates/Times: Recording available upon request
Duration: 30 minutes
Accessing the right information is critical to bench-to-bedside translational research. Much of the data is locked in textual format, such as scientific literature, clinical trial reports or electronic health records.
This webinar will demonstrate how advanced text analytics can provide a powerful solution to the challenges faced by researchers and clinicians, who need to extract the key facts rapidly and accurately to gain actionable insights for decision support.
Use cases span discovery, development, and healthcare delivery – and examples include utilization of text mining techniques for gene annotation, patent analytics, regulatory QA/QC, clinical trial matching for patients, and extracting key endpoints from pathology reports and EHRs for better patient care.
What will you learn?
- How natural language processing (NLP) creates value from unstructured text
- The challenges faced by researchers and clinicians across discovery, development and delivery, and how text mining can be applied to provide solutions
- How flexible NLP text mining from Linguamatics can provide precise results, quickly
Who should attend?
Anyone with an interest in getting better value from their textual information, working within the life sciences or healthcare