MultiGML: Multimodal graph machine learning for prediction of adverse drug events
Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonstrated high utility in practice, they are at the sa...
Main Authors: | Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo-Fernández, Ashar Ahmad, Sheraz Gul, Andrea Zaliani, Holger Fröhlich |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
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Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023066495 |
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