September 18, 2025Open Access

Guided multi-agent AI invents highly accurate, uncertainty-aware transcriptomic aging clocks

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The K-Dense AI system offers high accuracy in estimating biological age, achieving an R² of 0.854 and a mean absolute error of 4.26 years.
This framework incorporates uncertainty awareness, providing calibrated confidence intervals and flagging predictions at transitional biological ages.
Through sliding-window analysis, the model identifies evolving gene importance which reflects dynamic changes in transcriptomic aging signatures.
K-Dense compresses traditional research timelines, transforming months of scientific exploration into weeks while establishing practical applications for uncertainty.

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AI system K-Dense enhances hypothesis testing, achieving high accuracy and uncertainty awareness in transcriptomic aging clocks.

Agarwal et al. (2025) studied this question.

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