How NutriGenius Builds Your Protocol
A transparent look at the 7-layer clinical algorithm that powers every personalised supplement recommendation.
Reviewed by Dr. Esra Ata, MDHealth Goals & Conditions
Your health goals, diagnosed conditions, and symptom patterns determine which supplements enter the candidate pool. Recommendations are mapped to published clinical evidence for each condition.
Drug Interaction Screening
Every candidate supplement is screened against your current medications for clinically significant interactions. Supplements with critical interactions (e.g., St. John's Wort + SSRIs, fish oil + anticoagulants) are automatically blocked.
Dietary Pattern Analysis
Your diet type (omnivore, vegetarian, vegan, keto, etc.) determines baseline nutrient gaps. For example, vegans are flagged for B12, algae omega-3, and iodine; keto dieters for electrolytes and fibre.
Lifestyle Adjustments
Sleep quality, stress levels, exercise intensity, sun exposure, and alcohol intake all influence nutrient requirements. An athlete training >5 hours/week has different magnesium and electrolyte needs than a sedentary individual.
Age, Sex & Life Stage
Recommendations are adjusted for biological sex, age bracket, and life stage. Pregnancy and breastfeeding trigger strict safety filters. Post-menopausal women receive calcium/D3/K2 prioritisation.
Lab Values & Biomarkers
If you provide lab results (vitamin D, ferritin, B12, etc.), the algorithm adjusts doses based on your actual levels rather than population averages. This is the most precise personalisation layer.
Evidence Rating & Safety Validation
Every final recommendation includes an evidence rating (Strong, Moderate, Emerging) based on the quality and quantity of supporting clinical trials. Doses are capped at established Upper Tolerable Intake Levels (ULs).
Evidence Standards
Every supplement recommendation includes a transparency rating based on the quality of supporting evidence:
Multiple large RCTs, meta-analyses, or systematic reviews with consistent findings. Recommended by major clinical guidelines.
At least one well-designed RCT or multiple cohort studies with plausible mechanism. Benefit outweighs risk.
Preliminary human studies, animal data with strong mechanism, or traditional use with emerging clinical support. Disclosed transparently.
What We Don't Do
- ✕We do not diagnose, treat, cure, or prevent any disease
- ✕We do not replace professional medical advice or prescriptions
- ✕We do not recommend supplements without published clinical evidence
- ✕We do not sell supplements — our recommendations are brand-agnostic
See the algorithm in action
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