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Frontiers in Endocrinology
(May 2023)
Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism
Claudio Angione,
Claudio Angione,
Claudio Angione,
Huajin Wang,
Noël Burtt
Affiliations
Claudio Angione
School of Computing, Engineering and Digital Technologies, Teesside University, North Yorkshire, United Kingdom
Claudio Angione
Centre for Digital Innovation, Teesside University, North Yorkshire, United Kingdom
Claudio Angione
National Horizons Centre, Teesside University, North Yorkshire, United Kingdom
Huajin Wang
Open Science & Data Collaborations, Carnegie Mellon University, Pittsburgh, PA, United States
Noël Burtt
Medical and Population Genetics Program and Metabolism Program, The Broad Institute of MIT and Harvard, Cambridge, MA, United States
DOI
https://doi.org/10.3389/fendo.2023.1180254
Journal volume & issue
Vol. 14
Abstract
Read online
No abstracts available.
Keywords
multi-modal
systems biology
multi-omic integration
mechanism & characterization
machine learning
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