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Averbis at BioDataWorld 2021

We are proud to be a silver sponsor and presenter at this years BioData & Genomics LIVE World Congress held from the 2nd to the 4th of November 2021 in Basel (Switzerland). This page provides you with all the necessary information relating our presence and presentation at the conference, as well as extra information on our products and use cases.

Downloads

Below you can download a slide set on our use cases and capabilities for life sciences as well as our whitepaper on our AI-assisted Text Mining platform Information Discovery.

Text mining (NLP) and machine learning for Life sciences

Information Discovery Whitepaper

Use Cases

Literature Classification for Life sciences

  • Save up to 80% of your effort and get better results
  • Make your literature research more efficient with AI
  • Adapt it to your needs and integrate into your processes and structure
  • Productive use cases:
    • AI assisted Pharmacovigilance and AE detection
    • Systematic Literature Review (SLR)
    • Competitive Insights

IDMP Text mining

  • Save time and cost through automatic extraction of the most important elements for IDMP with >90% correctness
  • Increased data quality through automatic, consistent assignment and coding of controlled vocabulary
  • Handle change requests easily by automatic re-extraction
  • Easy to integrate into your existing IDMP system/workflow

ID as a text mining platform for pharma

  • Benefit from a proven and reliable text mining platform, which is ready to use
  • State of the art AI – multilingual text mining with machine learning
  • 30 most common industry standards (MeDRA, MeSH, LOINC…)
  • Easy integration through API

Patent Categorization & Monitoring

  • Find competitor’s patents & protect your property rights
  • Patent Landscaping & Patent Monitoring
  • Freedom-to-operate Analysis (FTO)
  • Prior Art Analysis
Would you like more information or a demo? We would be happy to present our products to you and create a demonstration based on your chosen database.