For Clinicians

You can deliver the intervention. Can you show it worked?

Biological age offers a measurable endpoint on a timescale that fits a study. It is not a diagnosis or a substitute for clinical judgement; it is an objective measure of whether the trajectory moved.

01 — The clinical gap

Longevity medicine works earlier. Its evidence has to arrive earlier too.

Conventional care detects decline once symptoms or established markers appear. It says far less about whether an otherwise healthy person is ageing well.

Longevity interventions are delivered years before the outcomes they are meant to change. Without a study-feasible endpoint, a clinician has no practical way to demonstrate that a protocol changed the trajectory.

Biological age turns that clinical question into a measurable research question.

02 — Who this is for

Two clinical settings, one evidence problem.

Restructured hospitals · polyclinics

Public sector clinicians

Focus: Preventive care, early detection, and participant stratification

  • Study design and operational support
  • Standardised biological-age endpoints across cohorts
  • Research collaboration and co-authorship

Specialist practices · longevity medicine

Private longevity clinics

Focus: Demonstrating that what you deliver works

  • Evidence for interventions already in practice
  • Longitudinal measurement across visits
  • Differentiation grounded in data rather than claims

03 — What we run

The study work your site does not have to build.

Longitudinal tracking is designed from enrolment. Clinicians receive interpretable outputs, not a raw-data handoff.

01

Study design and documentation

Protocol, endpoints, participant criteria, sample size, and consent and ethics documentation prepared for institutional review. No study infrastructure to build and no prior research experience required.

02

Sample handling, end to end

Your team collects. Logistics, preparation, quality control, and sequencing are handled after that — without a lab build-out, bioinformatics hire, or vendor management.

03

The endpoint

EpiClock runs 12 validated epigenetic clocks across 8 dimensions, scored consistently across participants and visits. Measurement is independent of clinical assessment, removing ascertainment bias.

04

Analysis and publication

Change from baseline is compared against 16 harmonised public studies and delivered as interpretable, publication-ready outputs with co-authorship.

04 — The panel

Eight dimensions, not one number.

Rate of ageing, accumulated damage, mortality-associated phenotype, and mitotic history can diverge within the same participant. In an intervention study, that divergence may be the most informative result.

The current panel measures eight dimensions from one methylation sample. Additional modalities are on the roadmap; we will tell you what is available now and what is not.

Chronological

What it measures
Calendar-age estimate
Clocks
Horvath · Hannum

Phenotypic

What it measures
Morbidity and mortality risk
Clocks
PhenoAge · GrimAge · PCPhenoAge · PCGrimAge

Pace of ageing

What it measures
Rate of ageing per year
Clocks
DunedinPACE

Causal

What it measures
Causal chronological signal
Clocks
CausAge

Damage

What it measures
Accumulated molecular damage
Clocks
DamAge

Adaptation

What it measures
Protective adaptation
Clocks
AdaptAge

Mitotic

What it measures
Stem-cell division count
Clocks
epiTOC2

Telomere

What it measures
DNA-methylation telomere length
Clocks
DNAmTL

05 — Partnership

What partnering involves

From your site:
participants, a clinical protocol, and capacity to collect samples.

From BioAge Connect:
documentation, logistics, processing, measurement, data management, and analysis.

Not from BioAge Connect:
clinical delivery or clinical decisions. Those remain entirely yours.

Agreed before any sample moves

Data ownership and IP attribution are defined at the outset. Processing aligns with PDPA and IRB requirements. Explicit do-not-use policies cover insurance underwriting and employment decisions. Participants consent to defined uses, and results are not returned as clinical or diagnostic findings.

First study sites

Start with observational measurement.

No protocol change and no intervention arm — just baseline measurement across an existing population. It is a low-commitment way to establish whether a larger study is worth running. Early partners help shape the measurement panel and study design.

Start a conversation