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POLARIS

The North Star to navigate the expanding universe of aging biomarkers

POLARIS unifies biomarker models, CpG‑level annotation, study knowledge,
and systematic benchmarking around a single guidance system.

The expanding universe of aging clocks — from the DNAm Big Bang to the observable universe of future biomarkers
The expanding universe of aging clocks
The methylCIPHERv2 workflow, in five steps: choose the right clock for your cohort; audit the input data; score 143 epigenetic clocks across 48 clock families, verified against the original authors' code; audit the results against expected age trends; and export a publication-ready report

methylCIPHER

Live

What biomarkers exist?

Biomarker Models

A catalog of aging-biomarker models: the algorithms, coefficients, and metadata behind each clock. Use it to find which biomarkers exist and inspect how each is defined.

View on GitHub

TranslAGE

Live

Which biomarkers perform well?

Systematic Benchmarking

Systematic benchmarking of aging biomarkers across stability, treatment response, phenotype associations, and risk prediction. Use it to compare how well biomarkers perform and which are best suited to a given task.

Launch TranslAGE

CpG Atlas

Live

What biology do these biomarkers capture?

CpG-level Annotation

CpG-level annotation of the biological, functional, and technical properties of methylation sites. Use it to understand what biology a biomarker's CpGs capture.

Launch CpG Atlas

CpG Library

Coming soon

What happened in the studies?

Study & Biomarker Knowledge

A searchable knowledge base of manuscripts covering datasets, biomarkers, and DNA-methylation biology. Use it to understand what a given study measured, in which cohorts, and what it reported. Built using MedViz for interactive visualization.

Learn more

HarmonyAgent

Coming soon

Autonomous Harmonization

The connective tissue of POLARIS. HarmonyAgent continually discovers, curates, and integrates new studies, biomarkers, and annotations across the platform so every other tool stays current. It is the hub connector rather than a question-answering component.

Future Vision & Collaboration — Bigger: massive data expansion, more biomarkers, and model organisms. Better: a unified AI workspace, local models, and clinical trial auditor and planner tools. Nobler: contribute curated datasets and results, download ready-to-use analysis scripts, and connect with researchers for joint projects and grants

Interested in collaborating or contributing datasets? Reach out at a.higginschen@yale.edu.