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  • RESEARCH HIGHLIGHT

Omics with active learning optimizes phenotypic screens

By
  1. Alex Eccleston

Phenotypic drug discovery screens offer physiologically relevant disease-linked readouts and account for polypharmacology. However, they are more complex than target-based screens and difficult to conduct at scale. Reporting in Science, DeMeo et al. apply transcriptome datasets as a proxy for cell phenotypes and design a deep learning framework to prioritize compounds for phenotypic screens.

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Nature Reviews Drug Discovery 25, 19 (2026)

doi: https://doi.org/10.1038/d41573-025-00200-0

References

  1. DeMeo, B. et al. Active learning framework leveraging transcriptomics identifies modulators of disease phenotypes. Science https://doi.org/10.1126/science.adi8577 (2025)

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