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The Science of Biological Drift: Multi-omics Testing at Home

Your biology is not fixed. Your gut microbiome and your cellular metabolism change with age, hormones, sleep, stress and what you eat. vivaLAB measures both, at home, and tracks how they move against your own baseline over time.

That movement is what we call biological drift. One test shows where you stand. Repeat tests show where you are heading.

BIOLOGICAL DRIFT

One Test Is Only A Snapshot

Most health tests compare you with a population range. That tells you whether you are inside the average. It does not tell you whether you have moved away from your own normal.

Research increasingly points to within-person change as the more useful signal. A study of more than 9,000 people found that gut microbiomes become more individually unique from mid-life, and that the pattern of change, described by the authors as microbial drift, differed between healthy and less healthy older adults [1]. A Stanford-led study that profiled the same 109 people quarterly for up to eight years across the metabolome, microbiome and other layers generated more than 67 clinically actionable discoveries [2].

Measurement quality matters when you track change. Some widely used ageing clocks varied by up to nine years between repeat samples of the same blood until the methods were refined [3]. This is one reason vivaLAB does not report a single biological age score: we track specific systems that you can act on.

<h2>One Test Is Only A Snapshot</h2>
WHAT WE MEASURE

Our Tri-layer Testing Protocol

We read two living systems in the laboratory, then interpret them in the context of how you live.

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METAGENOMICS
vivaBIOME (metagenomics)

Metagenomic sequencing of a stool sample, collected at home. 100+ consumer markers from 5,000+ research markers.

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METABOLOMICS
vivaMETABOLITE (metabolomics)

Urine-based assessment of cellular biochemistry and metabolic function, collected at home. 50+ consumer markers from 2,500+ research markers.

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LIFESTYLE-OMICS
vivaLIFESTYLE Assessment

A structured questionnaire covering diet, sleep, activity, stress, alcohol, health history and medications. 

ACTIVATE YOUR DATA

From Data To Direction

vivaOS:
AI health intelligence platform

vivaOS brings your microbiome, metabolite and lifestyle data together, interprets it, and generates personalised nutrition, supplement and lifestyle recommendations. Every result you add builds your history, so vivaOS can show you which markers are moving and in which direction.

vivaSIM:
biological digital twin simulation platform

Once you have three or more sets of results, vivaSIM builds a model of your metabolism and gut function from your own data rather than a population average, and simulates how your trajectory may respond to changes. It is a simulation to guide decisions, not a guaranteed outcome.

vivaAGE:
a free place to start

COMING SOON: vivaAGE is a free self-report snapshot of lifestyle factors associated with healthy ageing. It is not a laboratory test, and it is a simple first step before you set a laboratory baseline.

SCIENCE & AI

Why Is This Possible Now?

Four technological shifts have allowed us to bring clinical-grade science out of the lab and into your hands.

Sequencing costs have fallen
Sequencing costs have fallen

Omics data that once cost millions to generate is now accessible at consumer prices, so your biology can be mapped in detail and measured again.

Cloud-scale data
Cloud-scale data

Multi-omics produces large datasets. We store and process your health record securely in the cloud so it can grow as you retest.

AI that finds patterns across layers
AI that finds patterns across layers

vivaOS looks for associations between your microbiome, your urine metabolites, your lifestyle and your goals, patterns that are hard to see by reading separate reports.

At-home collection
At-home collection

You collect your samples at home and return them by post. Samples are processed in NATA and ISO-accredited laboratories.

Dr. Andrew O'Brien

Dr. Andrew O'Brien

Executive Chairman & Co-Founder

In the late 1990s and early 2000s, Andrew advised some of the foundational companies in precision health, including Celera Genomics (the Human Genome project), deCODE Genetics (pioneers in population-scale gene discovery), and Amersham Biosciences (creators of essential gene/ DNA sequencing tools).

"It took almost 15 years and nearly $3 billion to complete the first human genome. Today, sequencing is faster and a fraction of the cost. That shift means we can offer what was once a research tool directly to people, to measure their own biology at home and see how it changes."

PHD SUPERVISION

Ethical Use of AI

Every recommendation, report and contraindication is reviewed by our accredited dietitians for accuracy, safety and relevance before it is released to a member. AI helps us find patterns; human expertise makes sure your recommendations are personal and responsibly delivered.

We believe AI is a powerful tool, but it's our human expertise that ensures your health recommendations are truly personalised and responsibly delivered.

vivaLAB is also a member of Australian Alliance for Artificial Intelligence in Healthcare (AAAiH) and the Australian Institute of Digital Health (AIDH). Both Peak Bodies are actively debating and responsible for creating and influencing the ethical implementation of AI in healthcare service delivery and data management.

<h2><span>Ethical Use of AI</span></h2>
PRECISION NUTRITION

How We Use Scientific Evidence

Our approach is not just theoretical; it's backed by a growing body of clinical research demonstrating that personalised, data-driven nutrition derived from multi-omics testing leads to significant health improvements.

Every health claim we make links to peer-reviewed research, and we describe findings as associations unless a study shows more. Where the science is still developing, we say so. Our testing identifies and tracks markers to support health optimisation. It does not diagnose, treat, cure or prevent any disease.

Power of AI

Improved Clinical Outcomes

Studies show that AI-powered precision nutrition recommendations from individual molecular data from multi-omics testing, can lead to significant improvements in chronic conditions.

A 2021 study published in bioRxiv found that data-driven personalised recommendations resulted in delivering improvements in:

36%

Severe depression

40%

Severe anxiety

38%

Severe IBS
Source:

Data-driven precision nutrition improves clinical outcomes... (bioRxiv, 2021)

Metabolism

Better Metabolic Health

Multi-omics testing informing data-driven precision nutrition, is highly effective for managing metabolic health. Research has demonstrated that tailored dietary advice can significantly reduce the risk factors for Type 2 Diabetes and obesity.

A review in Springer Nature highlighted that precision nutrition markedly improves these risk factors by accounting for individual genetics, lifestyle, and gut microbiome interactions.

Source:

Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes (Springer Nature, 2023)

Longevity

A Foundation for Longevity

The future of healthy aging is personal and determined at a molecular level. Research from the UC Davis Innovation Institute for Food and Health emphasises that to extend not just lifespan but healthspan, we must move beyond 'one-size-fits-all' advice.

By analysing an individual's unique 'omics' data (genomics, metabolomics, microbiomics), data-driven personalised nutrition holds the potential to optimise quality of life and promote healthy longevity.

Source:

Personalised Nutrition for Longevity (UC Davis, 2023)

FAQs

Frequently Asked Questions

DON'T GUESS

Decode Your Biology. Realise Your Potential.

Your first vivaINSIGHT test sets your baseline: one at-home kit, two lab-tested layers (vivaBIOME and vivaMETABOLITE) plus a lifestyle assessment, and a 20-page report. When you are ready to see your direction, vivaBALANCE retests you on a schedule.

References

  1. Wilmanski T, Diener C, Rappaport N, et al. Gut microbiome pattern reflects healthy ageing and predicts survival in humans. Nature Metabolism. 2021;3(2):274-286. doi:10.1038/s42255-021-00348-0. DOI

  2. Schüssler-Fiorenza Rose SM, Contrepois K, Moneghetti KJ, et al. A longitudinal big data approach for precision health. Nature Medicine. 2019;25(5):792-804. PMID: 31068711. PubMed

  3. Higgins-Chen AT, Thrush KL, Wang Y, et al. A computational solution for bolstering reliability of epigenetic clocks: implications for clinical trials and longitudinal tracking. Nature Aging. 2022;2(7):644-661. doi:10.1038/s43587-022-00248-2. DOI

  4. López-Otín C, Blasco MA, Partridge L, Serrano M, Kroemer G. Hallmarks of aging: an expanding universe. Cell. 2023;186(2):243-278. PMID: 36599349. PubMed

  5. Oh HSH, Rutledge J, Nie D, et al. Organ aging signatures in the plasma proteome track health and disease. Nature. 2023;624(7990):164-172. PMID: 38057571. PubMed

  6. Cryan JF, O'Riordan KJ, Cowan CSM, et al. The microbiota-gut-brain axis. Physiological Reviews. 2019;99(4):1877-2013. PMID: 31460832. PubMed