ML models predict lifespan-extending compounds with up to 80.36% accuracy
Dr_Singularity · x · 2026-10-28
Researchers trained machine learning models to predict which compounds extend lifespan in C. elegans worms, achieving up to 80.36% accuracy in cross-validation, per a new preprint. By analyzing chemical-protein interactions, the models help prioritize lab testing candidates and highlight which proteins drive predictions, offering clues for further study.
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