Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism.
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| Title: | Editorial: Artificial intelligence for data discovery and reuse in endocrinology and metabolism. |
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| Authors: | Angione C; School of Computing, Engineering and Digital Technologies, Teesside University, North Yorkshire, United Kingdom.; Centre for Digital Innovation, Teesside University, North Yorkshire, United Kingdom.; National Horizons Centre, Teesside University, North Yorkshire, United Kingdom., Wang H; Open Science & Data Collaborations, Carnegie Mellon University, Pittsburgh, PA, United States., Burtt N; Medical and Population Genetics Program and Metabolism Program, The Broad Institute of MIT and Harvard, Cambridge, MA, United States. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2023 May 05; Vol. 14, pp. 1180254. Date of Electronic Publication: 2023 May 05 (Print Publication: 2023). |
| Publication Type: | Editorial; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2023.1180254 |
