How to Integrate Clinical Trials Data into Your AI (2025)

TL;DR

Valyu’s Search API lets you access real-time biomedical data including ClinicalTrials.gov studies, PubMed articles, and FDA drug labels with just 3 lines of code.
It’s fast, structured, and works out of the box with LLM frameworks like LangChain, Vercel AI SDK, or LlamaIndex

Why Clinical Trials Matter for AI Builders

Clinical trial data powers a wide range of AI health applications:

Evidence-based research copilots
Drug discovery and pipeline monitoring
Clinical decision support tools
Real-world evidence synthesis

By integrating structured biomedical data into your RAG pipelines, you can generate accurate, trustworthy outputs from scientific-grade sources.

The Problem With Traditional Access

Most developers hit the same roadblocks:

No semantic search on ClinicalTrials.gov
PDF parsing required for protocols and results
No unified API for trials, literature, and drug labels
Infrequent updates (weekly or slower from most sources)
Hard to build RAG systems without structured outputs

The Fast Way: Use Valyu’s Clinical Trials Search API

Valyu brings unified, developer-friendly search across multiple biomedical datasets:

ClinicalTrials.gov
PubMed
FDA Drug Labels
(More datasets coming soon)

3-Line Setup

1import { Valyu } from 'valyu-js';
2
3const valyu = new Valyu({ apiKey: 'your-valyu-api-key' });
4
5const response = await valyu.search(
6  "Phase 3 melanoma immunotherapy trials currently recruiting"
7);
8
9console.log(response);

🔗 Get your API key
📖 Read integration docs

Example Use Cases

🔬 Research Copilot for Rare Diseases
“Show all currently recruiting trials for cystic fibrosis.”

🧬 Drug Discovery Dashboard
“Find all CAR-T trials in Phase 1-3 targeting leukemia.”

📚 Clinical Evidence Summariser
“Summarise peer-reviewed literature on pembrolizumab outcomes in melanoma.”

Benchmarks: Valyu vs Manual Search

Clinical Trial evaluation: Valyu scored 87.5%, Parallel 72.5%, Exa 75%, and Google 72% on queries spanning trial phases, recruitment status, and treatment outcomes.

Valyu is the fastest way to access clinical trials for AI applications with real-time data, structured metadata, and native support for search agents.

Advanced Query Example

Search recent publications and trials around pediatric CAR-T therapy:

1const response = await valyu.search(
2  "CAR-T therapy pediatric leukemia outcomes 2024",
3  {
4    included_sources: ["valyu/valyu-clinical-trials", "valyu/valyu-pubmed"],
5    relevance_threshold: 0.5,
6    max_num_results: 15
7  }
8);

💡 Use NCT numbers to fetch specific trial protocols, arms, and eligibility criteria.

Live Demo: Search Trials + Literature

Try the clinical trials demo →

Use natural language to search active trials, extract drug evidence from PubMed, and filter by trial phase, condition, or recruitment status. All results are RAG-ready.

Best Practices & Tips

Missing results? Be specific: include phase, condition, and recruitment status.
Long outputs? Chunk or summarise trial protocols before passing to your LLM.
Better grounding? Combine clinical trials with drug labels and literature for deeper context.
Speed? Pre-index high-use conditions in your own vector DB.

FAQ (Schema-Enabled)

Q: How fresh is Valyu’s clinical trials data?
A: Data is refreshed within 24 hours of updates to ClinicalTrials.gov.

Q: Can I filter trials by phase or status?
A: Yes, use natural language (“Phase 2, currently recruiting”) or structured filters in your query.

Q: Can I retrieve a trial by NCT ID?
A: Yes, just include the NCT number in your query.

Q: Do you support international trials?
A: Currently, Valyu covers US-based trials from ClinicalTrials.gov. International data is on the roadmap.

Start Building with AI-Ready Clinical Data

No scraping. No preprocessing. No messy formats. Just structured, searchable, LLM-friendly biomedical data.

🔑 Get your API key
📚 Explore the documentation
🧠 Build with LangChain

How to Integrate Clinical Trials Data into Your AI (Complete 2025 Guide)