This data package contains the entire concept structure (sematic type, concepts and replationship) of UMLS Metathesaur..
~$15,000/yr est.
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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.
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.
Benchmarking and optimizing organism wide single-cell ...
by JJ Diaz-Mejia · 2025 — Abstract page for arXiv paper 2503.20730: Benchmarking and optimizing organism wide single-cell RNA alignment methods.
Single-Cell Analysis for Whole-Organism Datasets
by AO Pisco · 2021 · Cited by 13 — This review explores recent advances in whole-organism single-cell atlases, which enable understanding of cell heterogeneity and tissue and cell fate.
Results from leakage mitigation studies in language models
Details about the dataset construction and training can be found in Appendix A.4 C.1. For the Sandbagging model organism, following the ...
Expected fields and columns in this data product
Organism 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..
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...