Access comprehensive healthcare and biomedical intelligence with Valyu’s DeepSearch API. From clinical trials and drug information to scientific literature and pharmaceutical market analysis, Valyu provides healthcare professionals and researchers with authoritative medical information and structured biomedical datasets.

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Why Healthcare Search Matters

Healthcare search on Valyu provides real-time, authoritative medical data that enables:
  • 🔬 Clinical Research - Access clinical trials, study results, and treatment outcomes
  • 💊 Drug Discovery - Monitor drug development, interactions, and regulatory approvals
  • 🧬 Biomedical Research - Search PubMed, ArXiv, and academic journals for latest discoveries
  • 🏥 Patient Care - Find treatment guidelines, drug interactions, and clinical evidence
  • 📊 Pharma Intelligence - Track pharmaceutical companies, pipeline developments, and market dynamics

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Key Healthcare Features

Clinical Trials Database

Live Trial MonitoringAccess ongoing and completed clinical trials from ClinicalTrials.gov with detailed protocol information.

Drug Information

FDA-Approved MedicationsSearch drug labels, contraindications, interactions, and safety warnings from DailyMed.

Scientific Literature

Peer-Reviewed ResearchAccess millions of biomedical papers from PubMed, ArXiv, and academic journals.

Pharma Intelligence

Market & Pipeline AnalysisMonitor pharmaceutical company developments, SEC filings, and competitive intelligence.

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Available Healthcare Datasets

Valyu provides comprehensive healthcare data through specialized datasets:

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Clinical Research

DatasetContentUse Case
valyu/valyu-clinical-trialsClinical trials from ClinicalTrials.govTrial monitoring and enrollment
valyu/valyu-drug-labelsFDA drug labels from DailyMedDrug safety and prescribing info
valyu/valyu-pubmedBiomedical literature from PubMedScientific research and evidence
valyu/valyu-arxivPre-print scientific papersLatest research developments

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Pharmaceutical Business

DatasetContentUse Case
valyu/valyu-sec-filingsPharmaceutical company SEC documentsBusiness strategy and pipeline
valyu/valyu-stocks-USPharma stock prices and performanceMarket analysis
valyu/valyu-earnings-USQuarterly earnings reportsFinancial performance
Data Selection Tip: Use clinical trial and drug label datasets for treatment information. Use PubMed/ArXiv for research evidence. Use SEC filings for pharmaceutical business intelligence.

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Quick Start Examples

Let Valyu automatically find the best healthcare datasets for your queries: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Valyu automatically searches relevant healthcare datasets
response = valyu.search(
    "CAR-T therapy effectiveness in pediatric leukemia latest studies"
)

print(response)
Find active and completed clinical trials: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Search for specific clinical trials
response = valyu.search(
    "Phase 3 melanoma immunotherapy trials currently recruiting",
    included_sources=["valyu/valyu-clinical-trials"]
)

# Get trial details with NCT ID
trial_details = valyu.search(
    "clinical trial NCT04916431 detailed protocol"
)

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Drug Information Lookup

Access comprehensive drug safety and prescribing information: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Drug interactions and contraindications
response = valyu.search(
    "warfarin drug interactions contraindications bleeding risk",
    included_sources=["valyu/valyu-drug-labels"]
)

# Medication side effects
side_effects = valyu.search(
    "metformin common side effects dosing adjustments renal impairment"
)

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Advanced Healthcare Analysis

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Biomedical Literature Research

Search peer-reviewed scientific publications: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# CRISPR research papers
crispr_research = valyu.search(
    "CRISPR-Cas9 off-target effects safety studies 2024",
    included_sources=["valyu/valyu-pubmed", "valyu/valyu-arxiv"],
    max_num_results=10
)

# COVID-19 long-term effects studies
covid_studies = valyu.search(
    "COVID-19 long-term neurological effects peer-reviewed studies",
    start_date="2023-01-01",
    end_date="2024-12-31"
)

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Pharmaceutical Company Analysis

Monitor pharma companies for competitive intelligence: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Comprehensive pharma company analysis
pfizer_analysis = valyu.search(
    "Pfizer oncology pipeline clinical trials SEC filings 2024",
    included_sources=[
        "valyu/valyu-sec-filings",
        "valyu/valyu-clinical-trials",
        "valyu/valyu-stocks-US"
    ]
)

# Drug pipeline monitoring
pipeline = valyu.search(
    "Moderna mRNA vaccine pipeline development Phase 2 Phase 3 trials"
)
Search across all healthcare data sources simultaneously: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Multi-source healthcare search
comprehensive = valyu.search(
    "immunotherapy checkpoint inhibitors melanoma treatment outcomes",
    included_sources=[
        "valyu/valyu-clinical-trials",
        "valyu/valyu-drug-labels",
        "valyu/valyu-pubmed",
        "valyu/valyu-sec-filings"
    ],
    max_num_results=20
)

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Use Case Examples

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🔬 Clinical Research

Comprehensive analysis for treatment decisions: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Treatment efficacy comparison
treatment_comparison = valyu.search(
    "CAR-T versus chemotherapy acute lymphoblastic leukemia outcomes",
    max_num_results=15
)

# Latest treatment guidelines
guidelines = valyu.search(
    "NCCN guidelines breast cancer HER2 positive treatment 2024",
    included_sources=["valyu/valyu-pubmed"]
)

​
💊 Drug Safety Monitoring

Track medication safety and adverse events: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Drug interaction checking
interactions = valyu.search(
    "apixaban warfarin drug interactions bleeding risk elderly patients",
    included_sources=["valyu/valyu-drug-labels"]
)

# Adverse event monitoring
adverse_events = valyu.search(
    "pembrolizumab immune-related adverse events management guidelines"
)

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🧬 Biomedical Research

Stay current with scientific discoveries: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Gene therapy research
gene_therapy = valyu.search(
    "AAV gene therapy Duchenne muscular dystrophy clinical outcomes",
    included_sources=["valyu/valyu-pubmed", "valyu/valyu-clinical-trials"]
)

# Biomarker discovery
biomarkers = valyu.search(
    "liquid biopsy ctDNA early cancer detection sensitivity specificity"
)

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📊 Pharmaceutical Market Intelligence

Track pharma industry developments and competition: 
from valyu import Valyu

valyu = Valyu(api_key="your-valyu-api-key")

# Pipeline analysis
pipeline_analysis = valyu.search(
    "Roche Genentech oncology pipeline Phase 3 trials FDA approval timeline",
    included_sources=[
        "valyu/valyu-sec-filings",
        "valyu/valyu-clinical-trials"
    ]
)

# Market competition
competition = valyu.search(
    "biosimilar market Humira competition revenue projections 2024-2025"
)

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Data Type Selection Guide

Efficiency Tip: Choose the right dataset for your needs. Clinical trials provide protocol details, drug labels offer safety information, while PubMed provides evidence-based research.

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When to Use Clinical Trials Database

✅ Use clinical trials for:
  • Finding recruiting trials for patients
  • Analyzing treatment protocols
  • Comparing study designs
  • Tracking drug development progress
  • Understanding inclusion/exclusion criteria
# Efficient for trial information
response = valyu.search(
    "breast cancer HER2 positive recruiting trials Phase 3",
    included_sources=["valyu/valyu-clinical-trials"]
)

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When to Use Drug Labels

✅ Use drug labels for:
  • Prescribing information
  • Contraindications and warnings
  • Drug-drug interactions
  • Dosing guidelines
  • Adverse reactions
# Comprehensive drug safety information
response = valyu.search(
    "rituximab infusion reactions premedication protocols",
    included_sources=["valyu/valyu-drug-labels"]
)

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When to Use Scientific Literature

✅ Use PubMed/ArXiv for:
  • Evidence-based medicine
  • Latest research findings
  • Systematic reviews and meta-analyses
  • Treatment efficacy studies
  • Mechanistic understanding
# Peer-reviewed research evidence
response = valyu.search(
    "checkpoint inhibitor resistance mechanisms melanoma",
    included_sources=["valyu/valyu-pubmed", "valyu/valyu-arxiv"]
)

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When to Use Pharma Business Data

✅ Use SEC filings and financial data for:
  • Pipeline valuations
  • R&D investments
  • Competitive landscape
  • Market strategy
  • Merger and acquisition activity
# Business intelligence for pharma
response = valyu.search(
    "Pfizer R&D spending oncology portfolio strategy",
    included_sources=["valyu/valyu-sec-filings", "valyu/valyu-earnings-US"]
)

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Best Practices

Search Strategy: Start with descriptive medical queries and let Valyu automatically find relevant datasets. Use included_sources only when you need to restrict results to specific data types.

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Effective Healthcare Queries

Query TypeEffective ExampleWhy It Works
Clinical Trials”Phase 3 NSCLC immunotherapy trials currently recruiting”Specific phase, condition, and status
Drug Information”metformin contraindications renal dosing adjustments”Specific drug with clinical context
Research Literature”CAR-T therapy cytokine release syndrome management 2024”Current year, specific condition and intervention
Pharma Analysis”Moderna pipeline mRNA vaccines Phase 2 Phase 3”Company-specific with development stages

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Strategic Source Selection

For Clinical Evidence: 
# Evidence-based medicine sources
included_sources = [
    "valyu/valyu-pubmed",
    "valyu/valyu-clinical-trials",
    "valyu/valyu-drug-labels"
]
For Drug Development: 
# Drug pipeline and development
included_sources = [
    "valyu/valyu-clinical-trials",
    "valyu/valyu-sec-filings",
    "valyu/valyu-pubmed"
]
For Pharmaceutical Business: 
# Business and market intelligence
included_sources = [
    "valyu/valyu-sec-filings",
    "valyu/valyu-stocks-US",
    "valyu/valyu-earnings-US"
]

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Research Performance Optimization

  1. Medical Terminology: Use standard medical terms, drug names, and disease classifications
  2. Trial Specificity: Include trial phase, NCT numbers, or recruitment status
  3. Time Context: Add publication years or date ranges for current research
  4. Condition Focus: Specify diseases, patient populations, or treatment modalities

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Healthcare Workflow Integration

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Clinical Decision Support Pipeline

from valyu import Valyu

def analyze_treatment_options(condition, patient_characteristics):
    valyu = Valyu(api_key="your-valyu-api-key")

    # Current clinical trials
    trials = valyu.search(
        f"{condition} clinical trials {patient_characteristics}",
        included_sources=["valyu/valyu-clinical-trials"]
    )

    # Treatment guidelines
    guidelines = valyu.search(
        f"{condition} treatment guidelines standard of care",
        included_sources=["valyu/valyu-pubmed"]
    )

    # Drug options and safety
    medications = valyu.search(
        f"{condition} FDA approved medications contraindications",
        included_sources=["valyu/valyu-drug-labels"]
    )

    return {
        "trials": trials,
        "guidelines": guidelines,
        "medications": medications
    }

# Usage
analysis = analyze_treatment_options(
    "metastatic melanoma",
    "BRAF V600E mutation elderly patient"
)

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Limitations and Considerations

  • Data Currency: Clinical trial data may have 24-48 hour update delays
  • Regional Coverage: Currently focused on US clinical trials and FDA-approved drugs
  • Access Levels: Some academic content may require institutional subscriptions
  • Medical Disclaimer: Information is for research purposes and not a substitute for professional medical advice
Healthcare search with Valyu provides comprehensive biomedical intelligence and real-time clinical data, enabling healthcare professionals, researchers, and developers to access authoritative medical information for evidence-based decision making and scientific discovery.