Vertical: Healthcare & Pharma

Clinical Research & Trial Intelligence

Structured, NLP-ready datasets extracted from millions of medical journals, clinical trials, and adverse event reports.

Built for Medical LLM Training

Raw medical data is messy. It exists in massive XML blobs, fragmented PDFs, and unstructured case reports. OmniSync Data's proprietary ingestion engine processes sources like PubMed Central (PMC), structuring them into high-fidelity JSON arrays ready for fine-tuning.

  • Adverse Event Extraction: Automated tagging of drug-induced anomalies (e.g., DILI indicators) with confidence scoring.
  • Structured Interventions: Clean dosage, demographic, and outcome mappings normalized to MeSH ontology.
  • HIPAA Compliant Anonymization: Safe-harbor de-identification applied at ingestion — zero PHI in output.
  • Daily Delta Updates: Fresh clinical trial registrations and paper publications pushed to your S3 bucket every 24 hours.
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Sample Output Schema (JSON)

{
  "document_id": "PMC12834359",
  "entities": {
    "drugs": ["Acetaminophen", "N-acetylcysteine"],
    "adverse_events": [
      {
        "term": "Hepatotoxicity",
        "severity": "Grade 3",
        "confidence": 0.982
      }
    ]
  },
  "cohort_size": 245,
  "statistical_significance": true,
  "mesh_terms": ["Liver Diseases", "Drug Toxicity"]
}

Dataset Specs

Total Documents15M+
Update FrequencyDaily
FormatJSONL / Parquet
DeliveryS3 / API
ComplianceHIPAA Safe Harbor

Explore the Healthcare AI Solution

See how AI labs and biotech firms are using our clinical data to train diagnostic models.

View Healthcare AI Use Case →