Building databases that track real patients’ stories over time is essential for medical research, drug development, clinical quality improvement, population health, and chronic disease management. Doing this well traditionally presents...
We are thrilled to announce that Spark NLP for Healthcare 2.6.0 has been released. Start your free trial – or expect an email with upgrade details if you’re already a subscriber....
Unstructured free-text medical notes are the only source for many critical facts in healthcare. As a result, accurate natural language processing is a critical component of many healthcare AI applications...
EHRs collect mass amounts of critical patient information but across the healthcare industry, most lack the ability to take meaningful action with this data and put it to its best...
Accelerating progress in personalized healthcare requires learning the causal relationships between diseases, genes, treatments, medications, labs, and other clinical information – at scale over a large population and time range....
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