Hanna Liu

MethylGPT: a foundation model for the DNA methylome

MethylGPT is a transformer-based model trained on human DNA methylation data that accurately predicts methylation values and improves age and disease prediction.

High-dimensional Ageome Representations of Biological Aging across Functional Modules

This paper introduces Ageome, a framework to measure epigenetic age across molecular pathways in mice and humans, revealing pathway-specific aging patterns and heterogeneity in mortality prediction.

Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and Rejuvenation

This study identifies transcriptomic biomarkers of mortality across species and models, revealing common aging mechanisms and rejuvenation signatures.

Causality-Enriched Epigenetic Age Uncouples Damage and Adaptation

The paper introduces causality-enriched epigenetic clocks, DamAge and AdaptAge, to track detrimental and adaptive methylation changes linked to aging, showing their association with adverse outcomes and beneficial adaptations.

Autonomous AI Agents Discover Aging Interventions from Millions of Molecular Profiles

The paper reanalyzes millions of molecular profiles to identify aging interventions using AI agents, finding over 500 interventions that reduce biological age and revealing patterns in aging modulation.