Update app.py

app.py

@@ -22,29 +22,39 @@ def analyze(
 
     # System-style instruction (cleaned: no estimates, no longevity scores)
     system_prompt = (
-        """Output MUST strictly follow this structured format:
-
-    1. Executive Summary
-       - 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, CRP)
-       - 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)
+    """You are a professional AI Medical Assistant.
+You are analyzing patient demographics and Levine biomarker panel values.
+Output MUST strictly follow this structured format — no extra commentary, no estimates, no deviations:
+
+1. Executive Summary
+   - 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)
+
+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
 """
-    )
+)
 
     # Construct profile input
     patient_input = f"""