Supplement, Medication & Chronobiology Scanner
Detects absorption blockers between supplements, drugs, and morning coffee, aligning them with blood tests into a daily schedule.
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| Parameter | Value | Parameter | Value |
|---|---|---|---|
|
KCAL / 100g
|
169 KCAL |
Protein
|
12g |
|
Fat
|
8.4g |
Carbs
|
0g |
Precise micro- and macronutrient analysis with daily reference intake (RDA) coverage (100 g)
| Name | Category | Amount | % RDA |
|---|---|---|---|
| Energy (Kcal) | - | 169 kcal | - |
| Energy (kJ) | - | 707.4 kj | - |
| Protein | - | 12 g | - |
| Carbohydrates | - | 11 g | - |
| Sugars | - | 7.8 g | - |
| Added sugars | - | 6.12 g | - |
| Fat | - | 8.4 g | - |
| Saturated fat | - | 0.9 g | - |
| Fiber | - | 0.7 g | - |
| Salt | - | 0.73 g | - |
| Sodium | - | 0.29 mg | - |
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Biochemical model of blood glucose dynamics (0-180 min) accounting for fat, protein, and fiber buffering.
Biochemical model of blood glucose dynamics (0-180 min) accounting for fat, protein, and fiber buffering.
Glycemic Load (GL) combines both the Glycemic Index (GI) and the actual amount of digestible carbohydrates in a serving.
Clinical thresholds: Low ≤ 10 pts • Moderate 11–19 pts • High ≥ 20 pts
Mayonnaise [Water, Rapeseed Oil, Cornflour (contains Sulphites), Pasteurised Egg Yolk, Spirit Vinegar, Sugar (contains Sulphites), Salt, Lemon Juice from concentrate [Lemon Juice from concentrate, Preservative (Potassium Metabisulphite)]], Cooked Chicken Breast (38%) [Chicken Breast (98%), Salt], Mango Chutney (5%) [Mango, Sugar, Acidity Regulator (Acetic Acid), Salt, Water, Ginger, Chillies], Sultanas (4%) [Sultanas, Sunflower Oil], Dried Apricots (4%) [Apricots, Rice Flour, Preservative (Sulphur Dioxide)], Water, Rapeseed Oil, Spices, Salt, Tomato Paste, Sugar (contains Sulphites), Preservative (Potassium Sorbate), Mustard Seeds, Acidity Regulator (Citric Acid).
Dietary supplement catalog, dosages, and interactions.
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Detects absorption blockers between supplements, drugs, and morning coffee, aligning them with blood tests into a daily schedule.
Flags interactions between foods/nutrients and antidiabetics, statins, anticoagulants, and antihypertensives.
Builds personalized nutrition plans across medical conditions, allergen exclusions, budget, and cooking time.
Uses multimodal visual analysis to identify meals, estimate macronutrients, and detect allergens from photos.