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KWS Saat uses knowledge graphs and AI for explainable gene discovery

KWS Saat combines knowledge graphs, link prediction, and generative AI to produce biologically meaningful and explainable hypotheses for identifying candidate genes in complex agricultural traits.

KWS Saat combines knowledge graphs, link prediction, and generative AI to produce biologically meaningful and explainable hypotheses for identifying candidate genes in complex agricultural traits.

Recorded at Neo4j GraphTalk, July 2026.

Use cases

  • GenAI
  • Knowledge graph
  • Research & development

Industry

  • Healthcare & life sciences

Products Used

  • Neo4j Graph Database
KWS Saat
  • Europe

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