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Explainable artificial intelligence for precision medicine in acute myeloid leukemia

Marian Gimeno1, Edurne San José-Enériz2,3, Sara Villar4

  • 1Departamento de Ingeniería Biomédica y Ciencias, TECNUN, Universidad de Navarra, San Sebastián, Spain.

Frontiers in Immunology
|October 17, 2022
PubMed
Summary

Explainable AI (XAI) offers interpretable insights into AI-driven personalized medicine. Our novel Multi-dimensional Module Optimization (MOM) method links drug screening with genetic data for robust, understandable treatment predictions in acute myeloid leukemia (AML).

Keywords:
assignation problembiomarkersdrug repositioningdrug sensitivityex-vivo experimentexplainable artificial intelligencelarge-scale screeningtreatment selection

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