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Update app.py

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  1. app.py +6 -4
app.py CHANGED
@@ -104,10 +104,12 @@ async def run_function_on_text(top_k,study_obj,study_type,phase,purpose,allocati
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  # Query
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  query_response = await query_engine_get_study.aquery(f"""
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  Based on the provided instructions and clinical trial information, generate the new eligibility criteria by analyzing the related studies and clinical trial information.
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- ### Instruction:
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- Find suitable papers that have similar Intervention/Treatment and Conditions to the clinical trial information(### Clinical Trial Information).
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- Find suitable papers that have relevant or similar Study Objectives and Study Design and Phases to the clinical trial information(### Clinical Trial Information).
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-
 
 
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  Criteria generation:
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  As a clinical researcher, generate new eligibility criteria for given clinical trial information.
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  Analyze the information from related studies for more precise new eligibility criteria generation.
 
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  # Query
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  query_response = await query_engine_get_study.aquery(f"""
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  Based on the provided instructions and clinical trial information, generate the new eligibility criteria by analyzing the related studies and clinical trial information.
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+ Find suitable papers that have relevant or similar to the clinical trial information(### Clinical Trial Information).
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+ Prioritize the following topics when finding related studies:
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+ 1. Study Objectives
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+ 2. Study Design and Phases
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+ 3. Conditions
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+ 4. Intervention/Treatment
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  Criteria generation:
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  As a clinical researcher, generate new eligibility criteria for given clinical trial information.
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  Analyze the information from related studies for more precise new eligibility criteria generation.