This data package contains the entire concept structure (sematic type, concepts and replationship) of UMLS Metathesaur..
API Access
Est. Price
~$15,000/yr est.
Update Frequency
—
Pricing Tiers
1
Regions
—
Quality SignalsB
Freshness
Recently enriched
Complete
63%
API
API Available
Product Overview
Healthcare NLP & Clinical Data Platform$
Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Benefits
- Extensive library of pre-trained clinical NLP models
- Multi-language support for clinical de-identification
- High-granularity SDoH and clinical entity extraction
- Cost-effective pricing compared to enterprise-scale healthcare data platforms
Drawbacks
⚠ Limited longitudinal patient journey tracking compared to Komodo Health · ⚠ Requires technical integration via API rather than turnkey dashboard solutionsProduct Intelligence
Value Score
25
quality per $
Try-ability
0
ease of trial
Product Details
Use Cases
Drug discovery and development | Clinical trial patient matching | Pharmacovigilance and safety monitoring | Regulatory compliance and reporting | Electronic health record interoperability | Biomedical research and literature mining | Healthcare supply chain optimization
Delivery
API
Detected Use Cases
compliance regulatoryhealthcare pharmainsurancesupply chain
Pricing Tiers
Vedex estimate
~$15,000/yr est.
$1,250 estimated
UNKNOWNLOW
Add to Data Room
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$15,000/yr est.
Request a sample directly from John Snow Labs.
Web Authority
High Authority17 mentions·3 platforms
Academic Papers
8 × 8 pts+64
Reddit
8 × 3 pts+24
LinkedIn
1 × 2 pts+2
Evidence5 sources
Academic Papers
M3-20M: A Large-Scale Multi-Modal Molecule Dataset for ...
All the data are integrated into a comprehensive dataset with over 20 million molecules. ... database and Hazardous Substances Data Bank (HSDB).
Academic Papers
SMELLNET: A Large-scale Dataset for Real-world Smell ...
by D Feng · 2025 · Cited by 9 — SmellNet contains about 828,000 data points across 50 substances, spanning nuts, spices, herbs, fruits, and vegetables, and 43 mixtures among ...
Academic Papers
M3-20M: A Large-Scale Multi-Modal Molecule Dataset for ...
CAMEO Chemicals database. Color/Form, 246, Hazardous Substances Data Bank (HSDB). Odor, 100, Hazardous Substances Data Bank (HSDB). Boiling ...
Data Dictionary
Expected fields and columns in this data product
About Substances
Substances is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $15,000/yr (an estimate, not a vendor-published price).
This data package contains the entire concept structure (sematic type, concepts and replationship) of UMLS Metathesaur..
About John Snow Labs
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...