IDEAS home Printed from https://ideas.repec.org/a/abf/journl/v55y2024i4p47220-47225.html
   My bibliography  Save this article

Tai Chi, Qigong and the Treatment of Lung Cancer- A Study in Artificial Intelligence

Author

Listed:
  • Robert W McGee

    (Fayetteville State University, USA)

Abstract

Tai chi and qigong are longstanding tools in the Traditional Chinese Medicine (TCM) toolbox. They have been used for centuries to treat a wide variety of diseases and ailments. Whereas western medicine places its primary focus on the treatment of existing disease, Chinese medicine places more emphasis on prevention. Both tai chi and qigong build up and strengthen the body’s natural immune system, which helps to prevent the onset of disease and other ailments and also helps to treat the symptoms of patients who have already contracted an illness. In recent years, western medicine has started to pay more attention to tai chi and qigong.

Suggested Citation

  • Robert W McGee, 2024. "Tai Chi, Qigong and the Treatment of Lung Cancer- A Study in Artificial Intelligence," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 55(4), pages 47220-47225, March.
  • Handle: RePEc:abf:journl:v:55:y:2024:i:4:p:47220-47225
    DOI: 10.26717/BJSTR.2024.55.008736
    as

    Download full text from publisher

    File URL: https://biomedres.us/pdfs/BJSTR.MS.ID.008736.pdf
    Download Restriction: no

    File URL: https://biomedres.us/fulltexts/BJSTR.MS.ID.008736.php
    Download Restriction: no

    File URL: https://libkey.io/10.26717/BJSTR.2024.55.008736?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abf:journl:v:55:y:2024:i:4:p:47220-47225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Angela Roy (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.