Build clinically characterised microbiome programmes with VAMS BIOME.

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.

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. 1Discovery
2. 2Scientific question
3. 3Cohort design
4. 4Governance & ethics
5. 5Sample & data workflow
6. 6ATLAS analysis
7. 7Clinical & research review
8. 8Evaluation
9. 9Scale decision

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 partnership

Partnership models