According to the latest pharmacovigilance guidelines of the European Medicinal Agency, marketing authorization holders (MAH) are expected to:
Systematic literature reviewing and screening for safety signals has always been a resource-consuming process. On top, when done manually, it cannot guarantee the full coverage and capture of all important AERs data elements in a consistent way.
At this webinar, we will show you how this complex process can be automated with the help of Semantic Technology.
The webinar will demonstrate:
* Semantic data normalization over large public repositories of semi-structured drug adverse reaction information (FDA AERS);
* Automatic processing of scientific literature data feed with advanced NLP pipelines capable to extract causal relations between drug administration and adverse events;
* Integration of the raw extracted data into a robust QA (curation) process;
* Building a semantic search on top of the integrated knowledge from all sources.
Who is this webinar for:
Pharmacovigilance and Patient Safety information specialists
Expected duration: 30-40 min
Resource After Webinar: Recording