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Hospitals & health systems

Build clinically characterised microbiome programmes with VAMS BIOME.

VAMS BIOME combines microbiome testing infrastructure with VAMS ATLAS™ structured intelligence to support appropriately governed clinical research, cohort development and longitudinal programmes with hospitals.

Discuss a hospital research programme View the ATLAS platform View sample report

The opportunity is bigger than adding another microbiome test.

Hospital collaboration can potentially support:

  • Clinically characterised cohorts
  • Prospective research programmes
  • Longitudinal microbiome measurement
  • Specialist-reviewed workflows
  • Microbiome and phenotype research
  • Regional and reference cohort development
  • Appropriate future clinical-service evaluation

These are research and collaboration directions. Clinical utility is not established in advance of evaluation, and nothing here describes a validated clinical service.

Complementary capabilities

Neither half answers the question alone.

Hospital partner

Clinical

  • Clinical expertise
  • Clinical phenotype
  • Specialist-defined cohorts
  • Research governance
  • Interventions and context
  • Longitudinal outcomes

VAMS BIOME™

Measurement

  • Collection and testing infrastructure
  • Multi-ecosystem pathways
  • Participant and report workflows
  • Longitudinal measurement

VAMS ATLAS™

Interpretation

  • Scores, panels and Insight Packs
  • Confidence context
  • Evidence provenance
  • Reference and cohort comparison
  • Structured reporting

Jointly evaluated microbiome research and longitudinal programmes

Nothing here describes an existing agreement, endorsement or relationship.

Microbiome interpretation depends on context.

Geography, diet, medication, age, life stage and clinical phenotype can all affect microbiome composition, so the choice of comparison group is itself a scientific decision.

  1. Global research Published and curated population data
  2. India Country-level reference context
  3. Regional populations Diet, geography and life-stage variation
  4. Clinically characterised cohorts Phenotype-linked — requires a hospital partner
  5. Individual context Read as population context, never as a verdict

VAMS is building governed cohort infrastructure. VAMS does not claim a clinically validated, representative Indian reference population; hospital partnerships create the opportunity to develop prospective, deeply characterised regional cohorts.

Start with a defined question, not a large commitment.

  1. Discovery What question is worth answering
  2. Scientific question Defined before any sampling
  3. Cohort design Population and comparison group
  4. Governance & ethics IEC / IRB approval
  5. Sample & data workflow Collection and chain of custody
  6. ATLAS analysis Structured interpretation
  7. Clinical & research review Specialist interpretation
  8. Evaluation Against pre-agreed endpoints
  9. Scale decision Continue, adjust or stop
An illustrative sequence. Ethics approval is a hard gate — nothing proceeds without it, and any stage may conclude that the evidence does not justify continuing.

Potential areas for discussion

  • Gastrointestinal research
  • Inflammatory bowel disease research
  • Metabolically characterised populations
  • Liver and metabolic research
  • Healthy and reference populations
  • Longitudinal microbiome programmes

Illustrative pilot scale; final cohort design and sample size depend on the research question and its statistical requirements. These are research and collaboration examples, not diagnostic indications.

Discuss a hospital research programme

The anatomy of a governed cohort programme.

A cohort programme is an architecture, not a sample count. The research question is fixed before collection begins, participants and metadata are scoped up front, and every sample carries the provenance record that makes the analysis reproducible.

01 · Research question

A question fixed before collection begins — cohort, comparison, timeframe and endpoint defined up front, so the design is answerable rather than exploratory after the fact.

02 · Participants

Strata defined, consent scoped

Eligibility, arm allocation and the consent scope for secondary use are recorded before the first sample is issued.

03 · Metadata schema

The same fields, every visit

A fixed schema captured at each timepoint. Fields added mid-study create gaps that cannot be filled retrospectively.

04 · Longitudinal sampling

Sampling schedule matrix Three arms sampled at five timepoints; one sample is highlighted to show the provenance record it carries. T0T1T2T3T4 Arm AArm BControl every sample carries its record

Repeat sampling on a fixed cadence. A missed timepoint is recorded as missing, never back-filled.

05 · Sequencing

Batched with controls

Runs carry negative and positive controls; batch identity travels with every sample.

06 · Analysis

Pinned pipeline, pinned parameters

Analysis runs against a versioned pipeline and a recorded parameter set, so the same inputs give the same output.

07 · Reproducibility — the provenance record

  • Participant ID (pseudonymised)
  • Arm and timepoint
  • Collection metadata
  • Kit and batch lot
  • Protocol version
  • Extraction and run ID
  • Pipeline version
  • Parameter set
Illustrative study architecture, not study data. The matrix shows a sampling schedule; provenance fields and pipeline versions are what make a re-run comparable.

VAMS ATLAS™

The interpretation layer under every programme.

ATLAS structures sequencing output into scores, panels and Insight Packs, with confidence context and evidence provenance attached — the same structured layer across research, cohort and longitudinal work.

Sequencing signal

Interpretation · confidence cue attached

Scores · panels · Insight Packs

Conceptual composition of the ATLAS interpretation motif — sequencing signal resolving into structured outputs. Illustrative geometry, not a product interface and not a real result.

Explore the ATLAS platform View a sample report

Ways a collaboration can be scoped

Six ways a collaboration can be scoped. Most begin as a defined research question and grow only as far as the evidence justifies.

  1. Research

    Clinical research collaboration Typical entry point

    A jointly scoped research programme built around a defined question.

  2. Research

    Cohort development

    Prospective, clinically characterised microbiome cohorts.

  3. Programme

    Institutional microbiome programme

    A defined hospital workflow supported by VAMS infrastructure.

  4. Infrastructure

    ATLAS / reporting infrastructure

    Structured microbiome intelligence for appropriately governed workflows.

  5. Programme

    Longitudinal programme

    Repeat measurement with structured longitudinal comparison.

  6. Strategic

    Strategic collaboration

    Research, technology and co-development discussions.

Each model is scoped and governed individually. Listing a model here describes how a collaboration could be structured — it does not imply an existing hospital agreement.

Have a clinical or research question in mind?

Tell us what population, programme or research question you are exploring. We can assess method fit, cohort requirements, governance and the appropriate next step.

  1. 1About you
  2. 2Your organisation
  3. 3What to explore
  4. 4Scale & timing
  5. 5Context
About you