



Collect clinical, microbial, diagnostic, biomarker, management, environmental, treatment, and outcome data.

Structure each data type into clear layers for routine, field, laboratory, biomarker, and trend evidence.

Assess whether the evidence supports, weakens, contradicts, or fails to explain the health concern.

Keep estimated risk separate from evidence strength, data completeness, and interpretation confidence.

Show the main drivers, missing evidence, conflicting signals, and reasons behind the output.

Guide follow-up testing, monitoring, veterinary review, reporting, and validation planning.