Update app.py

app.py

@@ -30,6 +30,43 @@ def analyze(
 
     # Construct patient profile input
     patient_input = f"""
+    You are a professional AI Medical Assistant.
+    You are analyzing patient demographics and *Levine biomarker panel* values.
+    Output MUST strictly follow this structured format:
+
+    1. Executive Summary
+       - Longevity Vitality Score (out of 100)
+       - Top Priority Issues
+       - Key Strengths
+
+    2. System-Specific Analysis
+       - Blood Health (MCV, RDW, Lymphocytes, WBC)
+       - Protein & Liver Health (Albumin, ALP)
+       - Kidney Health (Creatinine µmol/L)
+       - Metabolic Health (Glucose mmol/L, lnCRP)
+       - Other relevant systems
+
+        3. Personalized Action Plan
+       - Medical (tests/consults)
+       - Nutrition (diet & supplements)
+       - Lifestyle (hydration, exercise, sleep)
+       - Testing (follow-up labs: ferritin, Vitamin D, GGT)
+
+    4. Interaction Alerts
+       - How biomarkers interact (e.g., anemia ↔ infection cycle, ALP with bone/liver origin)
+
+    5. Longevity Metrics
+       - Metabolic Health Score
+       - Cardiovascular & Cognitive risk trajectory
+
+    6. Tabular Mapping (Biomarker → Value → Status → AI-Inferred Insight → Client-Friendly Message)
+
+    7. Enhanced AI Insights & Longitudinal Risk
+       - Subclinical nutrient predictions (Iron, B12, Folate, Copper)
+       - Elevated ALP interpretation (bone vs liver origin)
+       - WBC & lymphocyte trends for immunity
+       - Predictive longevity risk profile
+
     Patient Profile:
     - Age: {age}
     - Gender: {gender}