Physician with patient
LONGEVITY.OMICS · CLINICAL PARTNER DECK

A health check is a snapshot.
Longevity is a trajectory.

Longevity.Omics — multi-omics assessment, AI-guided
interpretation and continuous reassessment

Genomic · Epigenetic · Clinical — connected across time.
02 · WHY NOW
02

Healthcare is moving from sick care to proactive, personalized care

Blood draw
“The earlier we understand change, the more opportunity we have to act.”
Reactive sick care
After symptoms appear
SymptomsDiagnosisTreatment
Care begins when disease is already present.
Proactive / personalized care
Before disease develops
ScreeningRisk detectionEarlier interventionFollow-up
Care becomes earlier, more individual and more continuous.
Our position

Longevity care is not a new category — it is proactive care, extended across the aging trajectory.

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03 · WHY MULTI-OMICS
03

No single data layer tells the whole story

INHERITED RISK PROFILE · SCHEMATIC
Cardiovascular
Metabolic
Neurodegeneration
lowerhigher
What were you born with?
Inherited risk, medication response and lifelong baseline context.
GENOME
ORGAN AGING · SCHEMATIC
Heart
Liver
Kidney
Immune
— chronological age reference
How are you aging?
Biological age, organ and system aging, and dynamic response to life and environment.
EPIGENOME
CLINICAL MARKERS · SCHEMATIC
HDL cholesterol
HbA1c
hs-CRP
below reference range — flagged for review
What is happening now?
Current biomarkers, health check data, history and phenotype.
CLINICAL

Each layer sees a different part of the same patient. Longevity requires understanding them together.

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04 · CARE MODEL
04

What should a proactive longevity program understand?

UNDERSTAND THE PATIENT · 01–03 ACT · 04–05 LEARN · 06
01 What were you born with?Genome
02 How are you aging?Epigenome
03 What is happening now?Clinical state
04 What matters most?Prioritization
05 What should we do next?Personalized action
06 Did it work?Reassessment / N-of-1

A complete program connects understanding, action and learning — not as separate tests, but as one care model.

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05 · PRODUCT ANSWER
05
QuantumLife

Longevity.Omics connects multi-omics across time

GenomeGEN-DECODER · genomic baseline
EpigenomeEPI-INSIGHT · biological aging
Clinical DataOMNI-HEALTH · clinical intake
Longevity.Omics integrate · connect
prioritize · interpret
OMNI-HEALTH · INTELLIGENCE LAYER
Doctor-ready insights
Personalized action
Repeat assessment

Longevity.Omics is the operating layer that connects multi-omics assessment with longitudinal proactive care.

BASELINEINTERVENTIONREASSESSMENTFOLLOW-UP
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06 · PATIENT BASELINE
06

One patient. One integrated baseline story

REAL ANONYMIZED CASE · LONGEVITY.OMICS OUTPUT
Case A · Female · 34 years · Preventive assessment · No known disease Pending anonymization & display consent
CLINICAL

HDL cholesterol: 1.48 mmol/L

Below the report’s reference threshold of ≥ 1.55 mmol/L.

EPIGENOME

Cardiac epigenetic age: 39.7 · Chronological age: 33

Difference: +6.7 years.

GENOME

Reported CYP2C9 phenotype: poor metabolizer

Medication-specific prescribing context.

PREVENTIVE REVIEW

The low HDL and the +6.7-year cardiac age gap enter her preventive plan together — one integrated review of the same patient, not three separate reports.

MEDICATION-SPECIFIC CONTEXT

Her CYP2C9 result stays attached to this record — if a statin is ever considered, the relevant guidance is already in the same review.

CPIC 2022 guideline context · case detail on p.09 and p.12

One review brings together preventive context and medication-specific insights.

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07 · GENOME
07

What were you born with?

Genome provides the lifelong inherited baseline for proactive care.

A baseline that does not change with every health check.

Inherited predisposition

Age-related disease risks and PRS context.

Pharmacogenomics

Medication response and safety context.

Actionable inherited traits

A more individual starting point for prevention, nutrition and lifestyle.

POWERED BY  GEN-DECODER

Genome usually does not tell us whether today is better or worse; it tells us which risks deserve earlier and longer attention.

GEN-DECODER · REAL RESULT EXCERPT
PHARMACOGENOMICS
CYP2C9 · poor metabolizer
Case A · Female · 33 years
WHAT IT MEANS

A lifelong medication-safety signal — increased exposure for specific drugs, ready whenever a prescribing decision arises.

GUIDELINE CONTEXT

CPIC 2022: fluvastatin-specific dosing considerations for CYP2C9 poor metabolizers.

Same patient as p.06 — one genome result, reused across the care journey.
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08 · EPIGENOME
08

How are you aging?

Epigenome adds a dynamic biological aging layer between inherited risk and current phenotype.

Epi-Insight organ-age report excerpt

Epi-Insight organ-age report excerpt — bars vs. the chronological-age reference line (46).

Overall biological age / aging acceleration

A dynamic readout of how the body is changing.

Organ and system aging

Different systems can age at different speeds.

Responsive to lifestyle and environment

A layer that can be followed, not just reported.

N-of-1 repeated assessment

The basis for learning whether an intervention worked.

POWERED BY  EPI-INSIGHT
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09 · DECISION LOGIC
09

How does multi-omics become a clinical decision?

01 DetectRelevant signals in each data layer
Genome · Epigenome · Clinical
02 ConnectConverging signals across layers
03 PrioritizeWhat matters, what is urgent, what is actionable
04 Match EvidenceLiterature, intervention and monitoring evidence
05 Physician ReviewPriority → why → evidence → action
CASE A · HOW SIGNALS CONVERGE (REAL ANONYMIZED CASE)
GenomeCYP2C9 poor metabolizer — medication-specific context
+
EpigenomeCardiac epigenetic age 39.7 vs 33 — +6.7 years
+
ClinicalHDL 1.48 mmol/L — below the ≥1.55 reference
→
One reviewpreventive focus + medication context

More data is not the answer. Knowing what matters is.

Omni-Health · intelligence layer
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10 · LONGITUDINAL LEARNING
10

What changed over time?

REAL ANONYMIZED CASE · REPEAT EPI-INSIGHT · AGING RATE
Patient’s actual Epi-Insight N-of-1 report

The patient’s actual Epi-Insight N-of-1 report.
Circled region → enlarged aging-rate chart.

Zoomed aging-rate chart
⚑ Watch zone
1.20 → 1.18 elevated ~11 months
caught only by repeat N-of-1 testing

Zoomed view — enlarged from the report’s left chart

0%

aging rate vs previous assessment
(1.00 → 0.83)

Peak 1.20 → today 0.83 across six repeat visits.

BaselineMulti-omics baseline
Physician-guided planLifestyle / screening / supplement / treatment
Clinical follow-upMarkers, adherence, symptoms, lifestyle
Repeat Epi-InsightBiological aging change
Adjust next planA new trajectory point

Six repeat assessments, one trajectory: aging rate 1.20 at its peak, 0.83 today.

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11 · PHYSICIAN WORKFLOW
11

Complex biology. Simple physician workflow.

ONE CONNECTED WORKSPACE

From patient reports
to clinical insight.

Explore report management and three report types, with real sample data and original reports.

Gen-DecoderEpi-InsightOmni-Health
Open product demo Return to this slide at any time from the demo.
REPORT MANAGEMENT
Preview of the Longevity.Omics report management workspace
Your physician workspace, ready to explore
REVIEW→UNDERSTAND→EXPLAIN→DECIDE WITH PATIENT

AI output is for physician reference and review; the physician remains in control.

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12 · CLINICAL TRUST
12

Why should clinicians trust it?

1 · The model is accurate — it predicts events and tracks cardiometabolic biology.

INCIDENT HEART FAILURE · COX MODEL FOREST PLOT
Heart failure forest plot
HR 1.86 per SD · p = 0.0015

The only clock whose acceleration is significantly associated with incident heart failure.

CARDIOMETABOLIC PROFILE · NMR METABOLOMICS
NMR validation by biological domain
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NMR traits pass FDR ≤ 0.05 — higher clock acceleration tracks a broad adverse cardiometabolic profile.

Cohort: Lifelines-DEEP · Model: Cox proportional-hazards, adjusted for age and sex

Heart-failure analysis: n = 402, 15 incident events · NMR metabolomics: n = 855

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13 · CLINICAL TRUST
13

Why should clinicians trust it?

2 · Every action is evidence-backed — a curated database distilled from PubMed.

0
PUBMED LITERATURE

The world’s biomedical literature, continuously screened for longevity-relevant interventions, markers, and outcomes.

→
Curated
EVIDENCE DATABASE

Extracted, structured, and quality-screened into a precise evidence base — not a raw literature dump.

→
Every action
IN THE REPORT

Each recommendation is tied to supporting evidence a physician can trace back to the source.

WHAT THAT LOOKS LIKE · CASE A (P.06)
Low HDL + elevated cardiac age → preventive lipid & lifestyle plan, referenced to published evidence.
CYP2C9 poor metabolizer → statin considerations follow the CPIC 2022 guideline.

A physician never has to take our word for it —
every action cites its evidence.

Together with the validated model on the previous page, this is why clinicians can trust the report — and act on it.

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14 · BUYER VALUE
14

A new capability for your clinic — not a new test.

Clinic reception
QuantumLifeYour clinic keeps its setting — Longevity.Omics plugs in.
FROM

Health check → Report → Consultation → End

TO

Assessment → Multi-omics → Longevity interpretation → Personalized action → Follow-up → Reassessment

THE CAPABILITY YOU GAIN
  • Differentiated longevity service
  • Higher-value physician consultation / premium package
  • Recurring follow-up and patient retention

You are not buying a test. You are adding a longevity care capability.

WHO TO START WITH

Health-check clients with flagged results · longevity-motivated self-pay patients · chronic-risk follow-up groups

WHAT THE CLINIC DELIVERS

Gen-Decoder + Epi-Insight assays · Omni-Health integrated report · AI-assisted interpretation with physician review · scheduled reassessment

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15 · IMPLEMENTATION
15

You focus on patient care. We handle the multi-omics infrastructure.

AT YOUR CLINIC
Patient visit at clinic
1Patient visits clinic

Consent · clinical history & medication list uploaded to Longevity.Omics.

2One blood draw

Standard collection workflow.

3Sample to certified lab

Quantum Life certified partner laboratory (accredited, QC-audited).

CERTIFIED LAB + PLATFORM
Certified laboratory
4Multi-omics infrastructure

Sequencing, QC, bioinformatics and AI interpretation.

5Results in Longevity.Omics

Doctor-ready report and AI reference.

BACK TO YOUR CLINIC
Physician review with patient
6Physician review

Review report and AI reference with the patient.

7Consultation & follow-up

Set the plan; schedule reassessment.

Clinic: consent · draw · clinical context · review  |  Quantum Life + certified lab: sequencing · QC · analysis · integrated report

Press → to reveal each step
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Gleneagles Hospital Hong Kong
CLINICAL PROOF
Already in real clinical practice.
QuantumLife Gleneagles IHH Healthcare
WHY QUANTUM LIFE

Already bringing proactive longevity into real clinical practice.

“…integrates AI and advanced multi-omics clinical analyses — genomics and epigenetics — into our services.”

Dr Kenneth Tsang · IHH Healthcare North Asia / Gleneagles Hospital Hong Kong

First healthcare network in Hong Kong to offer integrated genomic, epigenetic and clinical analysis using Longevity.Omics.

Rolling out at Gleneagles Medical Clinic Central and Wong Chuk Hang, with TeleCare access. (update status at presentation time)

Specially trained doctors translate insights into personalized prevention plans and follow-up referrals.

NEXT STEP — A FOCUSED PILOT

① Name the hospital lead  ② Define target patients  ③ Schedule a joint report review

Sources: Gleneagles HK · IHH Healthcare

APPENDIX · ECONOMIC CASE
17

The economic case: from uncontrollable to controllable.

THE UNCONTROLLABLE CHALLENGES
Lack of standardization

No unified data benchmark — inconsistent sequencing, analysis and reports.

Resource scarcity

Hard to recruit and retain bioinformaticians, lifestyle and longevity experts.

Cost volatility

High salaries and unpredictable expert fees.

Operational complexity

Fragmented workflow from sequencing to action plans, prone to errors.

Time delays

Report digestion and interpretation often takes weeks.

OUR ONE-STOP SOLUTION
Data benchmark

A standardized benchmark for genomic / epigenetic sequencing, analysis and reporting.

Integrated expertise

Sequencing, analysis, reporting and expert-led plans in one combination.

Predictable costs

One all-inclusive package — no separate hires, no hidden fees.

Operational efficiency

A streamlined workflow that keeps results reliable and high-quality.

Time efficiency

Digestion and interpretation time drops from weeks to half a day.

COST COMPARISON *Assumptions: Hong Kong salary levels · USD · combined genome + epigenome package · ~100 patients / year
ItemsTraditional in-house costOur one-stop solution
Dedicated nurse~$75,000 / yearINCLUDED
Operation assistant~$33,000 / yearINCLUDED
Nutritionist~$39,000 / yearINCLUDED
Lifestyle expert~$46,000 / yearINCLUDED
Longevity expert~$185,000 / yearINCLUDED
Bioinformatician~$84,000 / yearINCLUDED
Report digestion & interpretation~ 1 week~ 0.5 day
Total annual estimate~$462,000~$100,000
0

lower annual cost

0.5 day

instead of a week

One package — no in-house team to build.

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