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Articles Published Processes
11/30/2020 5:58:12 AM | Browse: 794 | Download: 1613
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Received |
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2020-09-26 10:41 |
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Peer-Review Started |
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2020-09-26 10:42 |
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First Decision by Editorial Office Director |
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2020-10-22 03:49 |
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Return for Revision |
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2020-10-22 03:49 |
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Revised |
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2020-11-05 16:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2020-11-17 12:44 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2020-11-21 06:00 |
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Articles in Press |
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2020-11-21 06:00 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2020-11-29 12:47 |
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Publish the Manuscript Online |
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2020-11-30 05:58 |
| ISSN |
2644-3228 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Cell Biology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence for modeling uveal melanoma
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Beatriz Santos-Buitrago, Gustavo Santos-García and Emiliano Hernández-Galilea |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Gustavo Santos-García, PhD, Professor, IME, University of Salamanca, FES Building, Campus Miguel de Unamuno, Salamanca 37007, Spain. santos@usal.es |
| Key Words |
Uveal melanoma; Signal transduction; Pathway Logic; Symbolic systems biology; Artificial intelligence; |
| Core Tip |
Artificial intelligence offers rule-based models that favor the understanding of cell biology (signaling pathways) involved in the uveal melanoma. |
| Publish Date |
2020-11-30 05:58 |
| Citation |
Santos-Buitrago B, Santos-García G, Hernández-Galilea E. Artificial intelligence for modeling uveal melanoma. Artif Intell Cancer 2020; 1(4): 51-65 |
| URL |
https://www.wjgnet.com/2644-3228/full/v1/i4/51.htm |
| DOI |
https://dx.doi.org/10.35713/aic.v1.i4.51 |
All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.
