Function AI

1. Integrate blood biomarker data (ApoB, hs-CRP).

2. Analyze lipid panel and inflammatory markers.

3. Apply AI models to predict future cardiovascular events.

4. Provide personalized intervention recommendations (diet, exercise, medication).

1. Integrate hormone panel data (estrogen, testosterone, cortisol).

2. Analyze hormone levels in relation to age and gender.

3. Detect imbalances and predict potential health consequences.

4. Suggest personalized hormone balancing strategies.

1. Integrate glucose and insulin data.

2. Assess insulin sensitivity using AI models.

3. Identify early signs of insulin resistance.

4. Provide personalized diet and exercise recommendations to improve insulin sensitivity.

1. Integrate inflammatory marker data (hs-CRP, cytokines).

2. Analyze inflammation patterns and identify potential triggers.

3. Predict long-term health risks associated with chronic inflammation.

4. Suggest personalized interventions to reduce inflammation.

1. Integrate electrolyte data (sodium, potassium, magnesium).

2. Analyze electrolyte levels and identify imbalances.

3. Predict potential health consequences of imbalances.

4. Provide personalized recommendations to restore electrolyte balance.