Publication Name	Artificial Intelligence in Cancer
Manuscript ID	56960
Country	France

Received	2020-05-20 15:50
Peer-Review Started	2020-05-20 15:51
To Make the First Decision
Return for Revision	2020-06-04 04:14
Revised	2020-06-09 17:14
Second Decision	2020-06-11 09:26
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief	2020-06-12 00:23
Articles in Press	2020-06-12 00:23
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2020-07-02 08:29
Publish the Manuscript Online	2020-07-07 10:45

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.
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Category	Oncology
Manuscript Type	Editorial
Article Title	Artificial intelligence and omics in cancer
Manuscript Source	Invited Manuscript
All Author List	Cédric Coulouarn
Funding Agency and Grant Number	Funding Agency Grant Number Inserm, Université de Rennes 1, Ligue Contre le Cancer CD22, CD35, CD85 INCa, and ITMO Cancer AVIESAN (Alliance Nationale pour les Sciences de la Vie et de la Santé) dans le cadre du Plan cancer (Non-coding RNA in cancerology: fundamental to translational) C18007NS
Corresponding Author	Cédric Coulouarn, PhD, Senior Researcher, Institut National de la Sante et de la Recherche Medicale (Inserm), Université de Rennes 1, CHU Pontchaillou, 2 rue Henri Le Guilloux, Rennes F-35033, France. cedric.coulouarn@inserm.fr
Key Words	Omics; Big data; Artificial intelligence; Deep learning; Precision medicine;
Core Tip	Artificial intelligence (AI) emerged in the field of cancer research as a new and promising discipline to improve the management of patients with cancer, including more accurate and fastest diagnosis to facilitate the therapeutic decision. AI models are mainly fueled by multi omics data. Integrating omics data and clinical data of patients represents a challenging but fascinating task.
Publish Date	2020-07-07 10:45
Citation	Coulouarn C. Artificial intelligence and omics in cancer. Artif Intell Cancer 2020; 1(1): 1-7
URL	https://www.wjgnet.com/2644-3228/full/v1/i1/1.htm
DOI	https://dx.doi.org/10.35713/aic.v1.i1.1

Full Article (PDF)	AIC-1-1.pdf
Full Article (Word)	AIC-1-1.docx
Manuscript File	56960-Review.docx
Answering Reviewers	56960-Answering reviewers.pdf
Audio Core Tip	56960-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	56960-Conflict-of-interest statement.pdf
Copyright License Agreement	56960-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	56960-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate	56960-Language certificate.pdf
Peer-review Report	56960-Peer-review(s).pdf
Scientific Misconduct Check	56960-Scientific misconduct check.pdf
Scientific Editor Work List	56960-Scientific editor work list.pdf