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Update app.py
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app.py
CHANGED
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@@ -106,7 +106,7 @@ def analyze(
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"- Interpret ALP cautiously: mention bone vs liver as possible sources, but highlight that more tests would be required to confirm.\n"
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"- Always highlight limitations where applicable.\n\n"
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"OUTPUT FORMAT (strict, structured, and
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"1. Executive Summary\n"
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" - Top Priority Issues (based only on provided biomarkers)\n"
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@@ -130,7 +130,8 @@ def analyze(
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" - Describe ONLY interactions among provided biomarkers (e.g., RDW with MCV for anemia trends, ALP bone/liver origin, WBC with CRP for infection/inflammation)\n\n"
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"5. Tabular Mapping\n"
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" - Present a Markdown table
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" - Include ONLY the 9 Levine biomarkers, no extras\n\n"
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"6. Enhanced AI Insights & Longitudinal Risk\n"
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@@ -141,7 +142,7 @@ def analyze(
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"STYLE REQUIREMENTS:\n"
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"- Use clear section headings and bullet points.\n"
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"- Keep language professional
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"- Format tables cleanly in Markdown.\n"
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"- Present output beautifully, like a polished medical summary.\n"
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)
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@@ -149,6 +150,7 @@ def analyze(
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patient_input = (
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f"Patient Profile:\n"
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f"- Age: {age}\n"
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"- Interpret ALP cautiously: mention bone vs liver as possible sources, but highlight that more tests would be required to confirm.\n"
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"- Always highlight limitations where applicable.\n\n"
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"OUTPUT FORMAT (strict, structured, and professional):\n\n"
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"1. Executive Summary\n"
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" - Top Priority Issues (based only on provided biomarkers)\n"
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| 130 |
" - Describe ONLY interactions among provided biomarkers (e.g., RDW with MCV for anemia trends, ALP bone/liver origin, WBC with CRP for infection/inflammation)\n\n"
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"5. Tabular Mapping\n"
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" - Present as a Markdown table with the following columns:\n"
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" | Biomarker | Value | Status (Low/Normal/High) | AI-Inferred Insight |\n"
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" - Include ONLY the 9 Levine biomarkers, no extras\n\n"
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"6. Enhanced AI Insights & Longitudinal Risk\n"
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"STYLE REQUIREMENTS:\n"
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"- Use clear section headings and bullet points.\n"
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"- Keep language professional, concise, and client-friendly.\n"
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"- Format tables cleanly in Markdown.\n"
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"- Present output beautifully, like a polished medical summary.\n"
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)
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patient_input = (
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f"Patient Profile:\n"
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f"- Age: {age}\n"
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