<p>Towards semantic representation and causal inference in biomedicine. Challenges and applications</p>

Sergio Baranzini

doi:10.7490/f1000research.1119896.1

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Baranzini S. Towards semantic representation and causal inference in biomedicine. Challenges and applications [version 1; not peer reviewed]. F1000Research 2024, 13:1149 (slides) (https://doi.org/10.7490/f1000research.1119896.1)

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Towards semantic representation and causal inference in biomedicine. Challenges and applications

Sergio Baranzini¹

Published 07 Oct 2024 (https://doi.org/10.7490/f1000research.1119896.1)

Author Affiliations

¹ Neurology, University of California San Francisco, San Francisco, CA, USA

Copyright © 2024 Baranzini S. 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 07 Oct 2024

Towards semantic representation and causal inference in biomedicine. Challenges and applications
[version 1; not peer reviewed]

Sergio Baranzini¹

Author Affiliations

¹ Neurology, University of California San Francisco, San Francisco, CA, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

SEB is the co-founder of Mate Bioservices

Keywords

SPOKE, biomedicine, knowledge graph

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