Text Mining from bench-to-bedside - where's the value?
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 demonstrates 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.