Machine learning

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• Flatiron Health announces research to be presented at the 2025 European Society For Medical Oncology AI & Digital Oncology Congress
  • Machine learning
  • Press releases
• Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical context

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Machine learning
• A pan-tumor and pan-country approach to LLM-based extraction of systemic therapies from the electronic health record

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Machine learning
  • Tumor agnostic
  • Data management
• A framework for evaluating performance of LLM-based extraction from the electronic health record across different healthcare systems

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Machine learning
  • Quality improvement
  • Data management
• Privacy-preserving error analysis loop For ML-based extraction of oncology EHR data

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Data science
  • Machine learning
  • Data management
• Structuring GDPR-compliant private networks to enable LLM-Extracted oncology data on pseudonymized patient EHR data in Europe

  ESMO AI & Digital Oncology

  • Publication summary
  • Publications
  • Data science
  • Machine learning
• Behind the Research: An Exploration of Real-World Data's Ability to Support Adverse Event Surveillance at ISPOR Europe
  • Real-world evidence
  • Machine learning
  • Breast cancer
  • Regulatory
  • Post marketing requirements
• Data You Can Trust: Setting the Bar for ML/LLM-Extracted RWD
  • Real-world evidence
  • Machine learning
  • Webinar
  • Artificial intelligence
• Can You Trust Real-World Data Extracted by a Large Language Model (LLM)?
  • Real-world evidence
  • Machine learning
  • Article
  • Artificial intelligence