<p>Automating variant drug annotations with schema based constraints</p>

Aaron Fanous; Zara  Ansari; Sonnet Xu; Vasliki Bikia; Caroline  Thorn; Mark Woon; Li Gong; Katrin Sankhul; Michelle Whirl-Carillo; Roxana Daneshjou; Teri Klein

doi:10.7490/f1000research.1120050.1

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How to cite this poster:

Fanous A, Ansari Z, Xu S et al. Automating variant drug annotations with schema based constraints [version 1; not peer reviewed]. F1000Research 2024, 13:1471 (poster) (https://doi.org/10.7490/f1000research.1120050.1)

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Automating variant drug annotations with schema based constraints

Aaron Fanous¹, Zara Ansari, Sonnet Xu, Vasliki Bikia, Caroline Thorn, Mark Woon, Li Gong, Katrin Sankhul, Michelle Whirl-Carillo, Roxana Daneshjou, Teri Klein

Published 03 Dec 2024 (https://doi.org/10.7490/f1000research.1120050.1)

Author Affiliations

¹ Biomedical Data Science, Stanford University, Palo Alto, California, USA

Copyright © 2024 Fanous A et al. 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 03 Dec 2024

Automating variant drug annotations with schema based constraints
[version 1; not peer reviewed]

Aaron Fanous¹, Zara Ansari, Sonnet Xu, Vasliki Bikia, Caroline Thorn, Mark Woon, Li Gong, Katrin Sankhul, Michelle Whirl-Carillo, Roxana Daneshjou, Teri Klein

Author Affiliations

¹ Biomedical Data Science, Stanford University, Palo Alto, California, USA

Abstract

Competing Interests

Aaron Fanous is the Chief Technology Officer (CTO) and co-founder of Aptitude Medical Modeling (AMM), which develops technical and AI solutions for medicine. While the technologies created AMM are related to the topic of this research, no proprietary tools or technologies from AMM were used in this study. This research was conducted independently and did not receive funding from AMM.

Keywords

Artificial Intellgence, PharmacoGenomics, Large Language Models

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