Rakesh commited on
Update index.html
Browse files- index.html +156 -18
index.html
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<html>
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</html>
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Medical Research Architecture</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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background: #f7f9fa;
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margin: 0;
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padding: 40px;
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}
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.step {
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background: #ffffff;
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border-left: 6px solid #4CAF50;
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padding: 20px;
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margin-bottom: 30px;
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border-radius: 10px;
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box-shadow: 0 2px 6px rgba(0, 0, 0, 0.1);
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}
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.step h2 {
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margin-top: 0;
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}
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.agents {
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display: flex;
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flex-wrap: wrap;
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gap: 20px;
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margin-top: 15px;
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}
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.agent-box {
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background: #e9f5ff;
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border: 1px solid #cce7ff;
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border-radius: 8px;
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padding: 10px 15px;
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flex: 1 1 30%;
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min-width: 250px;
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box-shadow: 0 1px 4px rgba(0, 0, 0, 0.05);
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}
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.arrow {
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text-align: center;
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margin: 10px 0;
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font-size: 20px;
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}
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.note {
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font-style: italic;
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font-size: 0.9em;
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color: #555;
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margin-top: 10px;
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}
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</style>
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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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</body>
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</html>
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