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      Medical LLMGenerative AI models exceling in clinical text summarization, information extraction and question answering
      
      Healthcare NLP3000+ 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
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- - - 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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      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
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    - John Snow Labs Announces 2026 Applied AI Summit Program Focused on Proving …
      
      John Snow Labs and Data4Healthcare Announce Partnership to Bring Medical La…
      
      John Snow Labs and 3Aware Announce Partnership to Deliver Multimodal De-Ide…
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