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Oct 22, 2026

UCLA researchers develop MAESTRO AI platform to identify cancer drug combinations

UCLA investigators have created MAESTRO, an artificial intelligence platform that uses large language models to analyze scientific knowledge and identify promising drug combinations to overcome treatment resistance in cancer. The platform was described in the journal Advanced Science.

Oct 22, 2026·2 sources
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Top claims

  • ▪To identify drug candidates, UCLA researchers supplied MAESTRO with scientific data on prostate cancer biology, resistance mechanisms, and known drug actions.
  • ▪Prostate cancer cells often adapt to androgen receptor signaling blockade by activating alternative biological pathways, causing resistance to targeted drugs like enzalutamide.
  • ▪MAESTRO evaluates potential drug pairings, ranks promising candidates, and generates testable biological explanations without relying on vast amounts of experimental training data.

Topics

AI applicationsDrug developmentLarge language models (LLMs)AI for scienceAI in healthcareCancer treatmentCancer & OncologyAI drug discovery