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Large language models for science and medicine.

Authors :
Telenti, Amalio
Auli, Michael
Hie, Brian L.
Maher, Cyrus
Saria, Suchi
Ioannidis, John P. A.
Source :
European Journal of Clinical Investigation. Jun2024, Vol. 54 Issue 6, p1-11. 11p.
Publication Year :
2024

Abstract

Large language models (LLMs) are a type of machine learning model that learn statistical patterns over text, such as predicting the next words in a sequence of text. Both general purpose and taskā€specific LLMs have demonstrated potential across diverse applications. Science and medicine have many data types that are highly suitable for LLMs, such as scientific texts (publications, patents and textbooks), electronic medical records, large databases of DNA and protein sequences and chemical compounds. Carefully validated systems that can understand and reason across all these modalities may maximize benefits. Despite the inevitable limitations and caveats of any new technology and some uncertainties specific to LLMs, LLMs have the potential to be transformative in science and medicine. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00142972
Volume :
54
Issue :
6
Database :
Academic Search Index
Journal :
European Journal of Clinical Investigation
Publication Type :
Academic Journal
Accession number :
177219526
Full Text :
https://doi.org/10.1111/eci.14183