Publication summary

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• From data to decisions: the role of real-world evidence in recent multiple myeloma drug approvals in the US and EU

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
  • Regulatory
• Leveraging machine learning to assess the association of rash and survival in patients with advanced NSCLC

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
  • Machine learning
• Performance assessment and validation of real-world response data generated using a deep learning-based natural language processing model across multiple solid tumors

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
  • Machine learning
• Analytical approaches to estimate medication persistence from EHR data: a study of TKIs in patients with EGFR+ advanced NSCLC

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
  • Methodology
  • Non-small cell lung cancer
• Augmenting race and ethnicity in a real-world oncology cohort using the Bayesian improved surname geocoding methodology

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
• Advancing breast cancer research in Japan using EHR-derived real-world data

  ISPOR

  • Real-world evidence
  • Publication summary
  • Publications
  • Machine learning
• Patient characteristics and treatment patterns in extensive-stage small cell lung cancer (ES-SCLC)

  ISPOR

  • Publication summary
  • Publications
  • Machine learning
  • Small cell lung cancer
• Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types

  Journal for ImmunoTherapy of Cancer

  • Real-world evidence
  • Publication summary
  • Publications
  • Precision medicine
• Optimizing data collection: Assessing EHR-to-EDC data transfer potential across structured and unstructured data

  AMIA Informatics Summit

  • Clinical research
  • Publication summary
  • Publications
  • EHR-to-EDC