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      Medical LLMGenerative AI models exceling in clinical text summarization, information extraction and question answering
      
      Healthcare NLP3500+ small language models for de-identification and data curation from clinical & biomedical text
      
      Generative AI LabImplement Human-in-the-loop workflows for regulatory-grade AI without coding
      
      Terminology ServerSemantic mapping of medical phrases to standard or custom code systems, concept maps, and value sets
Solutions
- - - De-identificationAnonymize and obfuscate tabular, free text, FHIR, PDF, DICOM, and SVS files with regulatory-grade accuracy
      
      Data CurationAutomate and scale the creation of accurate patient registries, cohorts, quality measures, and analytics from clinical documents
      
      Patient Journey IntelligenceAutomatically integrate multimodal, longitudinal, and messy clinical data into a unified OMOP data model
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  - - Upcoming
      Webinars
      
      Yigit Gul
      
      Data Scientist at John Snow Labs
      
      July 29
      
      02:00 P.M | ET
      
      Beyond PHI Redaction: Automating Quasi-Identifier Discovery and Risk Analysis for Expert Determination
      Watch Now
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    - John Snow Labs and 3Aware Announce Partnership to Deliver Multimodal De-Ide…
      
      John Snow Labs Ranked Highest in the MarketsandMarkets™ 360Quadrant for NLP…
      
      John Snow Labs Honored with the 2026 Frost & Sullivan Customer Value L…
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