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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
LARGE LANGUAGE MODELS (LLMS) AND CHATGPT FOR BIOMEDICINE
Cecilia Arighi1, Steven Brenner, Zhiyong Lu
1Department of Computer and Information Sciences, University of Delaware, Ammon-Pinizzotto, Biopharmaceutical Innovation Building, 590 Avenue 1743, Newark, DE19713, US†Work partially supported by NIH award U24 HG007822., arighi@udel.edu.
Abstract:
Large Language Models (LLMs) are a type of artificial intelligence that has been revolutionizing various fields, including biomedicine. They have the capability to process and analyze large amounts of data, understand natural language, and generate new content, making them highly desirable in many biomedical applications and beyond. In this workshop, we aim to introduce the attendees to an in-depth understanding of the rise of LLMs in biomedicine, and how they are being used to drive innovation and improve outcomes in the field, along with associated challenges and pitfalls.
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