Raghav Sehgal

This study evaluates epigenetic clocks for aging interventions, finding newer clocks trained on mortality or aging rates are more reliable than those based on chronological age.

This study evaluates the technical and biological reliability of 18 epigenetic clocks and shows that technical reliability does not predict biological reliability, which is critical for clinical applications.

CpG Atlas integrates over 1.2 million CpG sites across multiple methylation arrays with 18 annotation layers and provides a query interface for epigenetic research.

This paper investigates how APOEe4 influences molecular changes in Alzheimer's disease through proteomic, epigenetic, and genetic analyses of post-mortem brain samples, identifying key proteins and epigenetic markers associated with risk and resilience.

TranslAGE provides a standardized framework for benchmarking epigenetic aging biomarkers by harmonizing datasets and precomputing scores across multiple performance domains.

The paper develops 11 system-specific methylation clocks from blood samples to quantify aging heterogeneity across physiological systems and identifies aging subtypes with distinct disease patterns.

CpGPT is a foundation model for DNA methylation analysis that outperforms specialized models in aging-related tasks and can impute methylation profiles across diverse conditions.

This study evaluates the responsiveness of DNA methylation aging biomarkers across 51 longevity interventions, identifying factors influencing their response and highlighting the utility of explainable clocks.