Machine Learning Predicts Longevity Compounds with 80% Accuracy in Worm Studies

University of Kent researchers used supervised machine learning to predict compounds that extend C. elegans lifespan, achieving up to 80.36% cross-validation accuracy by analyzing chemical-protein interactions, accelerating candidate compound screening for aging research.

2026-10-28 ~ 2026-10-28 · 2 related posts

• ML models predict lifespan-extending compounds with up to 80.36% accuracy — Dr_Singularity · 2026-10-28
• ML models predict lifespan-extending compounds in C. elegans with up to 80.36% accuracy — Dr_Singularity · 2026-10-28