Building Predictive Models Of Clinical Outcomes In Immune Oncology Using Computational Tissue Analysis Scorecards

Key takeaways

  • Building Predictive Models of Clinical Outcomes in Immune Oncology Using Computational Tissue Analysis Scorecards
  • The spatial location of PD-L1 expression can identify patients who will likely respond to anti-PD-1/PD-L1 therapy
  • Flagship’s unique spatial biology platform analyzed scanned images of IHC stained cancer tissue and generated per-cell Biofeatures™
  • Using AI, these Biofeatures™ are transformed into “IO Scorecards” that helped to predict CD8+ infiltration in tissues

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