Everything we show you is either calculated mathematically or supported by a specific peer-reviewed study. Here’s exactly how.
Aeon uses PhenoAge (Levine et al., 2018) to calculate biological age. PhenoAge is a validated mortality-risk algorithm published in the journal Aging and trained on NHANES III data (n=9,926, validated on NHANES IV, n=6,209).
What it uses: 9 blood biomarkers + chronological age
How it works
These 9 values are combined using a parametric Gompertz model that estimates all-cause mortality hazard. The result is converted to a “phenotypic age” that corresponds to the average age at which someone would have your specific mortality risk profile. If your PhenoAge is lower than your birthday age, your blood markers suggest lower-than-average mortality risk for your age.
What it does NOT do
The math is deterministic. No AI is involved in the biological age calculation. The same inputs always produce the same output. The formula is public and verifiable.
Levine ME, Lu AT, Quach A, et al. An epigenetic biomarker of aging for lifespan and healthspan. Aging. 2018;10(4):573-591. PMID: 29676998.
Standard lab reports show you whether you’re in the “normal” range — meaning the range that includes 95% of the population tested at that lab. This tells you whether you’re sick, not whether you’re optimized.
Aeon uses a second set of ranges: longevity-optimal. These are derived from studies that correlate biomarker levels with the lowest all-cause mortality, lowest cardiovascular event rates, or best functional outcomes in long-term cohort studies.
| Biomarker | Clinical “Normal” | Longevity Optimal | Source |
|---|---|---|---|
| Fasting Glucose | 70–99 mg/dL | 72–90 mg/dL | NHANES mortality data |
| LDL-C | <130 mg/dL | <100 mg/dL (ideally <70 if high ASCVD risk) | ACC/AHA guidelines |
| hsCRP | <3.0 mg/L | <1.0 mg/L (ideally <0.5) | JUPITER trial (PMID: 18997196) |
| Vitamin D | 30–100 ng/mL | 40–60 ng/mL | Endocrine Society + meta-analyses |
Fasting Glucose
Clinical: 70–99 mg/dL
Optimal: 72–90 mg/dL
Source: NHANES mortality data
LDL-C
Clinical: <130 mg/dL
Optimal: <100 mg/dL (ideally <70 if high ASCVD risk)
Source: ACC/AHA guidelines
hsCRP
Clinical: <3.0 mg/L
Optimal: <1.0 mg/L (ideally <0.5)
Source: JUPITER trial (PMID: 18997196)
Vitamin D
Clinical: 30–100 ng/mL
Optimal: 40–60 ng/mL
Source: Endocrine Society + meta-analyses
When Aeon shows a biomarker bar on your dashboard, the colored zones represent these longevity-optimal ranges, not standard lab ranges.
Every recommendation includes an evidence rating. Here’s what each means:
Strong
Supported by at least one large randomized controlled trial (RCT) with clinically significant effect size, replicated in independent studies, and consistent with meta-analyses. The intervention has a well-characterized safety profile.
Moderate
Supported by smaller RCTs, prospective cohort studies, or mechanistic trials with plausible biological pathways. Evidence is consistent but not yet definitive at the “change clinical guidelines” level.
Emerging
Supported by preclinical data, early human trials, or observational studies with biological plausibility. Promising but not yet proven at scale. Aeon labels these clearly so you know the difference.
Every recommendation cites a specific PubMed ID (PMID). You can look up any study yourself at pubmed.ncbi.nlm.nih.gov.
Aeon uses AI (a large language model) for two specific tasks:
1. Parsing your documents
When you upload a lab PDF, AI extracts the biomarker names and values from the document. You then review and confirm every extracted value before anything else happens.
2. Synthesizing recommendations
After your values are confirmed, AI reads your specific biomarker profile against our curated evidence base and generates personalized recommendations with appropriate context.
What AI does NOT do
The AI operates within strict constraints: it cannot diagnose, prescribe, or recommend prescription medications. It can only cite studies that exist in our pre-verified evidence base. Its output is validated against a schema before being shown to you.
Nowhere.
This architecture is not a policy choice (policies can change). It is a technical constraint (there is no database to write to).
Aeon is a decision-support tool that helps you understand your lab results in the context of longevity research. It is not a medical device, not FDA-cleared, and not a substitute for professional medical advice.
© 2026 5M Ventures LLC. All rights reserved.