Publication Name	Artificial Intelligence in Cancer
Manuscript ID	58435
Country	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 Executive 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
ORCID	Author(s) ORCID Number Shihori Tanabe http://orcid.org/0000-0003-3706-0616
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
CrossCheck Report	58435-CrossCheck report.pdf