BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
4/21/2025 8:12:24 AM | Browse: 20 | Download: 37
 |
Received |
|
2025-03-03 07:09 |
|
Peer-Review Started |
|
2025-03-03 07:09 |
 |
To Make the First Decision |
|
|
|
Return for Revision |
|
2025-03-14 10:02 |
|
Revised |
|
2025-03-14 23:18 |
|
Second Decision |
|
2025-04-01 02:40 |
|
Accepted by Journal Editor-in-Chief |
|
|
|
Accepted by Executive Editor-in-Chief |
|
2025-04-01 12:01 |
|
Articles in Press |
|
2025-04-01 12:01 |
|
Publication Fee Transferred |
|
|
|
Edit the Manuscript by Language Editor |
|
2025-04-03 00:19 |
|
Typeset the Manuscript |
|
2025-04-15 07:12 |
|
Publish the Manuscript Online |
|
2025-04-21 08:12 |
| ISSN |
1949-8462 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2025. 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 |
Cardiac & Cardiovascular Systems |
| Manuscript Type |
Letter to the Editor |
| Article Title |
Volatilome and machine learning in ischemic heart disease: Current challenges and future perspectives
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Basheer Abdullah Marzoog and Philipp Kopylov |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| The government assignment |
No. 1023022600020-6 |
| The Ministry of Science and Higher Education of the Russian Federation Within The Framework of State Support for The Creation and Development of World-Class Research Center ‘Digital biodesign and personalized healthcare’ |
No. 075-15-2022-304 |
| RSF grant |
No. 24-15-00549 |
|
| Corresponding Author |
Basheer Abdullah Marzoog, MD, Department of Cardiology, Sechenov University, 8-2 Trubetskaya Street, Moscow 119991, Moskva, Russia. marzug@mail.ru |
| Key Words |
Volatilome; Breathome; Ischemic heart disease; Mass-spectrometer; Machine learning |
| Core Tip |
Exhaled breath analysis offers a non-invasive, cost-effective alternative to traditional ischemic heart disease diagnostics, with superior accuracy (84% vs 60%–70% for stress electrocardiography). Prioritize standardized protocols for breath collection and machine learning integration to address variability. Collaborative efforts among clinicians, chemists, and data scientists are key to unlocking its full clinical potential. |
| Publish Date |
2025-04-21 08:12 |
| Citation |
<p>Marzoog BA, Kopylov P. Volatilome and machine learning in ischemic heart disease: Current challenges and future perspectives. <i>World J Cardiol</i> 2025; 17(4): 106593</p> |
| URL |
https://www.wjgnet.com/1949-8462/full/v17/i4/106593.htm |
| DOI |
https://dx.doi.org/10.4330/wjc.v17.i4.106593 |
© 2004-2025 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
