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Blog - Peer-Reviewed Papers

Peer-Reviewed Papers ()

Deeper Clinical Document Understanding Using Relation Extraction

The surging amount of biomedical literature & digital clinical records presents a growing need for text mining techniques that can not only identify but also semantically relate entities in unstructured...

Artificial intelligence (AI) can be applied in the practice of gastroenterology to acquire and analyze information. Besides speed and duplicability, AI has the potential of also offering insight with results...
Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Adverse drug reactions / events (ADR/ADE) have a major impact on patient health and health care costs. Detecting ADR’s as early as possible and sharing them with regulators, pharma companies,...

In healthcare product development and research, teams invest huge amounts of time to study through...

Easy to use, scalable NLP framework that can leverage Spark. Introduction of BERT based Relation Extraction models. State-of-the-art performance on Named Entity Recognition and Relation Extraction. Reported SOTA performance of...
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