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Lung cancer can be detected in patients' breath using just 7 volatile organic compounds, with new machine learning and statistical techniques

11.30.22 | PLOS

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Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples
Lung cancer prediction using machine learning and statistical techniques. Credit: Samarendra Das and Braja Bruti Das, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Article URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0277431

Article Title: Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples

Author Countries: USA, India

Funding: This study was supported by Netaji Subhas-ICAR International Fellowship, OM No. 18(02)/2016-EQR/Edn. (SD) of Indian Council of Agricultural Research (ICAR), New Delhi, India. It was supported in part by NIH NCI grant: 1R21CA229057, PI: XF. It was supported in part by Wendell Cherry Chair in Clinical Trial Research Fund (SNR), multiple National Institutes of Health (NIH), USA grants (SNR) (5P20GM113226, PI: McClain; 1P42ES023716, PI: Srivastava; 5P30GM127607-02, PI: Jones; 1P20GM125504-01, PI: Lamont; 2U54HL120163, PI: Bhatnagar/Robertson; 1P20GM135004, PI: Yan; 1R35ES0238373-01, PI: Cave; 1R01ES029846, PI: Bhatnagar; 1R01ES027778-01A1, PI: States;), and Kentucky Council on Postsecondary Education grant (PON2 415 1900002934, PI: Chesney). The content is solely the authors' responsibility and does not necessarily represent the official views of NIH or ICAR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

PLOS ONE

10.1371/journal.pone.0277431

Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples

30-Nov-2022

The authors have declared that no competing interests exist.

Keywords

Cancer Research Clinical Medicine Clinical Research Health and Medicine Health Care Lung Cancer Machine Learning

Article Information

Journal
PLOS ONE
DOI
10.1371/journal.pone.0277431
Article Publication Date
2022-11-30
Article Title
Multigroup prediction in lung cancer patients and comparative controls using signature of volatile organic compounds in breath samples
COI Statement
The authors have declared that no competing interests exist.

Contact Information

Hanna Abdallah
PLOS
onepress@plos.org

How to Cite This Article

APA:
PLOS. (2022, November 30). Lung cancer can be detected in patients' breath using just 7 volatile organic compounds, with new machine learning and statistical techniques. Brightsurf News. https://www.brightsurf.com/news/LMJ5RO4L/lung-cancer-can-be-detected-in-patients-breath-using-just-7-volatile-organic-compounds-with-new-machine-learning-and-statistical-techniques.html
MLA:
"Lung cancer can be detected in patients' breath using just 7 volatile organic compounds, with new machine learning and statistical techniques." Brightsurf News, Nov. 30 2022, https://www.brightsurf.com/news/LMJ5RO4L/lung-cancer-can-be-detected-in-patients-breath-using-just-7-volatile-organic-compounds-with-new-machine-learning-and-statistical-techniques.html.