Blog

Using NLP to Identity the Emotional State of Patients at Different Stages of a Disease Journey

Understanding the patient journey aids designing patient-focused products and services, improving communication, and personalizing treatment plans, which ultimately improves patient outcomes and experience. For mental health life science companies, we...

Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories

This session describes benchmarks and lessons learned from building such a pilot system on data from the US Department of Veterans Affairs, a health system which serves over 9 million...

Harnessing Causality, Encoded Clinical Knowledge, and Transparency: How Ronin Enables Personalized Decisions for Cancer Patients

To that aim, The future of healthcare AI hinges on the convergence of three critical...

Text-Prompted Cohort Retrieval: Leveraging Generative Healthcare Models for Precision Population Health Management

Using John Snow Lab’s Generative Healthcare models, the ClosedLoop platform enables users to retrieve cohorts using free-text prompts. Examples include: “Which patients are in the top 5% of risk for...

Adapting LLM & NLP Models to Domain-Specific Data 10x Faster with Better Data

When building high-performing LLM & NLP systems, most of our time is spent debugging models and iterating over individual issues that lead us to fixing our datasets in an ad-hoc,...