--- name: biomedical-search description: Complete biomedical information search combining PubMed, preprints, clinical trials, and FDA drug labels. Powered by Valyu semantic search. keywords: - biomedical-search - clinical-research - evidence-based-medicine - medical-research - comprehensive-search - semantic-search license: MIT --- # Biomedical Search Search across all major biomedical databases (PubMed, bioRxiv, medRxiv, ClinicalTrials.gov, FDA drug labels) simultaneously using natural language queries powered by Valyu's semantic search API. ## Why This Skill is Powerful - **No API Parameter Parsing**: Just pass natural language queries directly - no need to construct complex search parameters - **Semantic Search**: Understands the meaning of your query, not just keyword matching - **Full-Text Access**: Returns complete content from literature, trials, and drug labels - **Image Links**: Includes figures and images when available - **Comprehensive Coverage**: Search across PubMed, bioRxiv, medRxiv, clinical trials, and drug labels simultaneously - **Unified Results**: Get results from all biomedical sources in a single query ## Requirements 1. Node.js 18+ (uses built-in fetch) 2. Valyu API key from https://platform.valyu.ai ($10 free credits) ## CRITICAL: Script Path Resolution The `scripts/search` commands in this documentation are relative to this skill's installation directory. Before running any command, locate the script using: ```bash BIOMEDICAL_SCRIPT=$(find ~/.claude/plugins/cache -name "search" -path "*/biomedical-search/*/scripts/*" -type f 2>/dev/null | head -1) ``` Then use the full path for all commands: ```bash $BIOMEDICAL_SCRIPT "CAR-T cell therapy" 20 ``` ## API Key Setup Flow When you run a search and receive `"setup_required": true`, follow this flow: 1. **Ask the user for their API key:** "To search biomedical databases, I need your Valyu API key. Get one free ($10 credits) at https://platform.valyu.ai" 2. **Once the user provides the key, run:** ```bash scripts/search setup ``` 3. **Retry the original search.** ## When to Use This Skill - Complete biomedical information gathering - Clinical research combined with basic science - Finding trials, literature, and official drug info together - Evidence-based medicine research - Disease understanding from multiple angles ## Output Format ```json { "success": true, "type": "biomedical_search", "query": "CAR-T cell therapy", "result_count": 20, "results": [ { "title": "Title", "url": "https://...", "content": "Full content...", "source": "pubmed|biorxiv|medrxiv|clinical-trials|drug-labels", "relevance_score": 0.95, "images": ["https://example.com/figure1.jpg"] } ], "cost": 0.035 } ``` ## Processing Results ### With jq ```bash # Get titles scripts/search "query" 20 | jq -r '.results[].title' # Get URLs scripts/search "query" 20 | jq -r '.results[].url' # Extract full content scripts/search "query" 20 | jq -r '.results[].content' # Filter by source type scripts/search "query" 20 | jq -r '.results[] | select(.source == "clinical-trials") | .title' ``` ## Common Use Cases ### Clinical Research Planning ```bash # Gather evidence for clinical study design scripts/search "phase 2 trials checkpoint inhibitors melanoma" 50 ``` ### Drug Safety Assessment ```bash # Search literature, labels, and trials for safety data scripts/search "SGLT2 inhibitors cardiovascular safety" 40 ``` ### Treatment Protocol Development ```bash # Find current practice and emerging approaches scripts/search "pembrolizumab dosing regimens NSCLC" 30 ``` ### Medical Writing ```bash # Comprehensive research for medical communications scripts/search "JAK inhibitors rheumatoid arthritis efficacy" 60 ``` ## Error Handling All commands return JSON with `success` field: ```json { "success": false, "error": "Error message" } ``` Exit codes: - `0` - Success - `1` - Error (check JSON for details) ## API Endpoint - Base URL: `https://api.valyu.ai/v1` - Endpoint: `/search` - Authentication: X-API-Key header ## Architecture ``` scripts/ ├── search # Bash wrapper └── search.mjs # Node.js CLI ``` Direct API calls using Node.js built-in `fetch()`, zero external dependencies. ## Adding to Your Project If you're building an AI project and want to integrate Biomedical Search directly into your application, use the Valyu SDK: ### Python Integration ```python from valyu import Valyu client = Valyu(api_key="your-api-key") response = client.search( query="your search query here", included_sources=["valyu/valyu-pubmed", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv", "valyu/valyu-clinical-trials", "valyu/valyu-drug-labels"], max_results=20 ) for result in response["results"]: print(f"Title: {result['title']}") print(f"URL: {result['url']}") print(f"Content: {result['content'][:500]}...") ``` ### TypeScript Integration ```typescript import { Valyu } from "valyu-js"; const client = new Valyu("your-api-key"); const response = await client.search({ query: "your search query here", includedSources: ["valyu/valyu-pubmed", "valyu/valyu-biorxiv", "valyu/valyu-medrxiv", "valyu/valyu-clinical-trials", "valyu/valyu-drug-labels"], maxResults: 20 }); response.results.forEach((result) => { console.log(`Title: ${result.title}`); console.log(`URL: ${result.url}`); console.log(`Content: ${result.content.substring(0, 500)}...`); }); ``` See the [Valyu docs](https://docs.valyu.ai) for full integration examples and SDK reference.