This data package contains datasets that have been used to build the Drugs@FDA. The information is classified by healt..
~$10,000/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 ~$10,000/yr est.
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Benchmarking drug-drug interaction prediction methods
Then we collect the approval times of these drugs based on their names from FDA Drugs Database https://www.drugfuture.com/fda/. Among these ...
Preprint not peer reviewed
referenced in the FDA Drugs Database (https://www.drugfuture.com/fda/); 2) They. 219 should selectively target malignant glioma cells within the TME ...
Pim1 promotes Th17 cell differentiation via mitochondrial ...
screen drugs targeted against Pim1 activity from the FDA Drugs Database. The drug-. 401 binding pocket of Pim1 with the highest drug score was the one which ...
Expected fields and columns in this data product
FDA Drugs Database 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 $10,000/yr (an estimate, not a vendor-published price).
This data package contains datasets that have been used to build the Drugs@FDA. The information is classified by healt..
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...