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Operationalizing NLP Models

This presentation focuses on model lifecycle management best practices.

Towards an Artificial Intelligence-Enabled Social Media Listening Solution to Inform Early Patient-Focused Drug Development Strategies

Drug development can benefit from including patient and caregiver social media listening (SML) as part...

Leveraging Healthcare NLP Models in Regulatory Grade Oncology Data Curation

COTA’s mission is bringing clarity to cancer by using real world data and analytics. The key to this is the uncompromising quality of regulatory grade data that COTA provides. Data...

Medication Instructions – Variability Primed for Disruption through NLP

Clinical data is increasing in volume (nearly 900% since 2016), velocity and variety – clinical data is tantamount to delivering cost effective, safe, patient centric and socially contextual care. It...

Long Document Abstractive Summarization with Large Language Models

Most abstractive summarization approaches of today rely on not-that-large sequence-to-sequence encoder-decoder models and are limited to contexts of 512 to 1024 lexical tokens in the source document only. In parallel,...