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Solution Accelerator

Biomedical Literature Q&A With Large Language Models (LLMs)

Pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook

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Answer biomedical research questions with generative AI

Generative AI is taking the world by storm. In the healthcare industry, researchers, clinicians and medical professionals are turning to large language models (LLMs) to analyze and summarize large amounts of medical data, like biomedical literature.
What makes LLMs run effectively is high-quality data, and lots of it. When 30% of the world’s data volume is generated by the healthcare industry, there’s opportunity to operationalize and deliver new insights with the help of LLMs.
With the Databricks Lakehouse for Healthcare and Life Sciences, and this Solution Accelerator, organizations can:
  • Unify numerous medical data sources, including PubMed biomedical literature
  • Choose any open source, fine-tuned large language model to answer biomedical questions based on a collection of PDF documents
  • Summarize biomedical documents
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Use Case Guide

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R&D platforms are built on the lakehouse

Using LLMs for scientific Q&A

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