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CASE STUDY

Case Study: Accelerated Target ID using ML-Ready Data on Polly

Key Highlights
  • The company aimed to find targets for differentiation therapy for cancers including AML.
  • Data retrieval, harmonization and ML model development are time-consuming.
  • To help the company circumvent the time factor, Elucidata curated an omics data atlas and developed custom pipelines.
  • The company was able to identify two targets in 2-3 months compared to the 1-2 years that it generally takes.
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