Alice E. Kane

This study identifies DNA methylation signatures associated with frailty in mice, distinguishing age-independent and -dependent mechanisms and revealing sex-specific patterns.

This paper develops a multi-omic model to predict phenotypic age in mice, showing it can predict remaining lifespan even among same-aged mice.

This study identifies sex-specific metabolite biomarkers of frailty in aging mice using longitudinal metabolomics and machine learning.

This study shows that long-term NMN treatment improves healthspan and extends lifespan in female mice but not males, with sex-specific effects on metabolism and microbiome.

The paper measures damage and repair rates in aging mice and humans, finding that robustness and resilience decline with age, with robustness having a greater impact on damage accumulation.

This paper develops novel feature selection methods to construct epigenetic clocks with high accuracy using fewer CpG sites, outperforming existing models.

The paper introduces TIME-Seq, a low-cost method for epigenetic age prediction, and validates it on mouse and human samples, showing improved scalability and accuracy.

The paper shows that DNA double-strand breaks induce epigenomic changes that accelerate the aging clock in mammals.