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9/28/2020 12:52:30 AM | Browse: 529 | Download: 916
Publication Name Artificial Intelligence in Cancer
Manuscript ID 58435
Country/Territory Japan
Received
2020-07-22 08:10
Peer-Review Started
2020-07-22 08:11
To Make the First Decision
Return for Revision
2020-09-13 02:50
Revised
2020-09-18 06:44
Second Decision
2020-09-22 10:37
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-09-22 20:30
Articles in Press
2020-09-22 20:30
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-09-24 07:46
Publish the Manuscript Online
2020-09-28 00:43
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Oncology
Manuscript Type Editorial
Article Title How can artificial intelligence and humans work together to fight against cancer?
Manuscript Source Invited Manuscript
All Author List Shihori Tanabe
Funding Agency and Grant Number
Funding Agency Grant Number
Japan Agency for Medical Research and Development (AMED) JP20ak0101093
Corresponding Author Shihori Tanabe, PhD, Senior Research Fellow, Division of Risk Assessment, Center for Biological Safety and Research, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-ku, Kawasaki 210-9501, Kanagawa, Japan. stanabe@nihs.go.jp
Key Words Artificial intelligence; Cancer; Cancer therapy; Database; Molecular network; Network data analysis
Core Tip The utilization of artificial intelligence (AI) is important for analyzing abundant data on diseases in the big data era. The genomic and molecular data in cancer have been accumulated in databases worldwide. Collaboration with AI in human cancer research is explored in this editorial.
Publish Date 2020-09-28 00:43
Citation Tanabe S. How can artificial intelligence and humans work together to fight against cancer? Artif Intell Cancer 2020; 1(3): 45-50
URL https://www.wjgnet.com/2644-3228/full/v1/i3/45.htm
DOI https://dx.doi.org/10.35713/aic.v1.i3.45
Full Article (PDF) AIC-1-45.pdf
Full Article (Word) AIC-1-45.docx
Manuscript File 58435_Auto_Edited.docx
Answering Reviewers 58435-Answering reviewers.pdf
Audio Core Tip 58435-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 58435-Conflict-of-interest statement.pdf
Copyright License Agreement 58435-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 58435-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate 58435-Language certificate.pdf
Peer-review Report 58435-Peer-review(s).pdf
Scientific Misconduct Check 58435-Scientific misconduct check.pdf
Scientific Editor Work List 58435-Scientific editor work list.pdf