Precision Nutrition AI Algorithms: How They Work
Dr. Circuit|
The "N=1" Revolution
Generic diet advice fails because you are statistically unique. Precision Nutrition AI uses Multivariate Analysis to find correlations humans miss. Example: The AI notices your weight spikes 2 days after poor sleep, not immediately after a cheat meal.
Input Variables That Matter
- Hormonal Cycle: Ovulation increases BMR by ~200 calories.
- Stress Load (HRV): High cortisol blunts fat oxidation.
- Sleep Efficiency: < 6 hours reduces insulin sensitivity by 30%.
How The Algorithm Adapts
If weight stays static for 7 days, a static calculator says "Eat less." A Precision AI says "Your NEAT (Non-Exercise Activity) has dropped by 400 calories. Go for a walk." It solves the root cause, not just the symptom.