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+# The Applications of LLM-Based Agents in Biology and Medicine
+
+This theme explores how large language models (LLMs) and their associated agents are transforming the fields of biology and medicine. The use of LLMs in biomedical research and healthcare services enhances disease modeling, patient diagnosis, drug discovery, and clinical decision-making processes. With their ability to process large amounts of data and generate human-like text, LLM-based agents are becoming vital tools for researchers and practitioners alike.
+
+## Relevant Papers
+
+- **[Natural Language Processing for COVID-19: A Scoping Review](https://pmc.ncbi.nlm.nih.gov/articles/PMC8285156/)**
+  - **Published in:** Journal of Biomedical Informatics
+  - **Date:** March 1, 2021
+  - **Summary:** This paper provides a comprehensive review of the applications of natural language processing (NLP) techniques in the context of COVID-19, covering areas such as disease surveillance, diagnosis, and clinical decision-making. It discusses various NLP tools and methodologies that have been employed to extract insights from biomedical literature and clinical notes, highlighting the challenges and future directions in the integration of NLP with healthcare.
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