<p>Streamlining drug development with conversational AI-powered knowledge graphs: From preclinical discovery to clinical trials</p>

Maaly Nassar

doi:10.7490/f1000research.1120065.1

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Nassar M. Streamlining drug development with conversational AI-powered knowledge graphs: From preclinical discovery to clinical trials [version 1; not peer reviewed]. F1000Research 2024, 13:1553 (slides) (https://doi.org/10.7490/f1000research.1120065.1)

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Streamlining drug development with conversational AI-powered knowledge graphs: From preclinical discovery to clinical trials

Maaly Nassar¹

Published 23 Dec 2024 (https://doi.org/10.7490/f1000research.1120065.1)

Author Affiliations

¹ Elsevier Ltd, Cambridge, UK

Copyright © 2024 Nassar M. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 23 Dec 2024

Streamlining drug development with conversational AI-powered knowledge graphs: From preclinical discovery to clinical trials
[version 1; not peer reviewed]

Maaly Nassar¹

Author Affiliations

¹ Elsevier Ltd, Cambridge, UK

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

drug discovery, large language models (LLMs), knowledge graphs, drug development, drug repurposing, named-entity-recognition, clinical trials, preclinical target discovery, drug adverse events

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