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<title>Medical Research Architecture</title> |
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</head> |
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<body> |
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<div class="step"> |
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<h2>STEP 1: Parallelized Data Collection</h2> |
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<p><strong>Supervisor Agent</strong> dispatches specialized agents to fetch relevant data in parallel.</p> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>GBQ Research Agent</strong><br/> |
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- Fetches structured internal datasets from BigQuery. |
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</div> |
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<div class="agent-box"> |
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<strong>DailyMed Agent</strong><br/> |
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- Retrieves verified drug information and monographs. |
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</div> |
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<div class="agent-box"> |
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<strong>Web Research Agent</strong><br/> |
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- Crawls and scrapes open medical research and news. |
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</div> |
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</div> |
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</div> |
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<div class="step"> |
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<h2>STEP 2: Data Synthesis & Gap Analysis</h2> |
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<p>The <strong>Synthesizer Agent</strong> merges the raw findings into a preliminary brief, resolving conflicts and identifying gaps.</p> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>Input</strong><br/> |
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- Data from all Step 1 Agents. |
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</div> |
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<div class="arrow">⟶</div> |
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<div class="agent-box"> |
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<strong>Synthesizer Agent</strong><br/> |
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- Creates: <em>Preliminary Research Brief</em> |
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<div class="note">Highlights inconsistencies and missing data points.</div> |
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</div> |
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</div> |
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</div> |
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<div class="step"> |
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<h2>STEP 3: Collaborative Summarization & Voting</h2> |
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<p>Multiple LLM agents draft independent summaries, then vote to reach a unified consensus.</p> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>Summarizer Agent A</strong><br/> |
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- Powered by Claude<br/> |
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- Drafts version 1 |
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</div> |
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<div class="agent-box"> |
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<strong>Summarizer Agent B</strong><br/> |
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- Powered by Gemini<br/> |
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- Drafts version 2 |
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</div> |
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<div class="agent-box"> |
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<strong>Summarizer Agent C</strong><br/> |
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- Powered by GPT-4o<br/> |
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- Drafts version 3 |
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</div> |
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</div> |
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<div class="arrow">⟶</div> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>Critique & Voting Agent</strong><br/> |
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- Compares drafts against a rubric<br/> |
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- Creates: <em>Consensus Summary</em> |
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<div class="note">Integrates strengths from all drafts.</div> |
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</div> |
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</div> |
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</div> |
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<div class="step"> |
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<h2>STEP 4: Human-in-the-Loop Review</h2> |
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<p>Medical researchers review AI-generated content, provide feedback, and request clarification.</p> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>Interface Viewer</strong><br/> |
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- Displays Consensus Summary and source info<br/> |
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- Enables targeted review by human experts |
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</div> |
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<div class="arrow">⟶</div> |
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<div class="agent-box"> |
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<strong>Medical Researcher (MR)</strong><br/> |
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- Reviews key chunks<br/> |
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- Provides corrections, queries, and follow-up requests |
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</div> |
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</div> |
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</div> |
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<div class="step"> |
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<h2>STEP 5: Final Report Generation</h2> |
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<p>The final LLM synthesizes validated data into a formal, structured report.</p> |
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<div class="agents"> |
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<div class="agent-box"> |
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<strong>Report Generation Agent</strong><br/> |
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- Powered by GPT-4o / Gemini 1.5 Pro<br/> |
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- Inputs: raw data, consensus summary, MR feedback |
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</div> |
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<div class="arrow">⟶</div> |
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<div class="agent-box"> |
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<strong>Final Research Document</strong><br/> |
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- Fully structured, validated, and ready for submission or publication |
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</div> |
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</div> |
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</div> |
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