IDEAS home Printed from https://ideas.repec.org/a/etm/ijsrst/v11y2024i6id408.html

The Integration of Artificial Intelligence in Drug Discovery and Development : Novel Approach

Author

Listed:
  • Ankit Ujjwal

Abstract

The drug discovery and development process is complex, time-consuming, and costly. Artificial Intelligence (AI) has emerged as a transformative technology to improve efficiency, accuracy, and innovation in pharmaceutical research. This study explores the applications, benefits, and challenges of integrating AI in drug discovery and development. the role of AI in drug discovery, its transformative impact on pharmaceutical research, and the potential benefits and challenges. Briefly mention the major AI techniques used in different phases of drug discovery and development. The integration of Artificial Intelligence (AI) into drug discovery and development is transforming the pharmaceutical industry by speeding up processes, reducing costs, and enhancing precision. This paper discusses the involvement of AI in drug discovery and development. AI has brought a revolution to drug invention and development, significantly reducing costs and accelerating the process. By integrating AI into these stages, drug development has become more efficient, allowing for faster and more cost-effective innovations in the pharmaceutical field.

Suggested Citation

  • Ankit Ujjwal, 2024. "The Integration of Artificial Intelligence in Drug Discovery and Development : Novel Approach," International Journal of Scientific Research in Science and Technology, Technoscience Academy, vol. 11(6), pages 228-237, December.
  • Handle: RePEc:etm:ijsrst:v11:y2024:i6:id:408
    DOI: 10.32628/IJSRST24116175
    as

    Download full text from publisher

    File URL: https://ijsrst.com/home/article/view/IJSRST24116175
    File Function: Abstract page
    Download Restriction: no

    File URL: https://ijsrst.com/home/article/download/IJSRST24116175/IJSRST24116175
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/IJSRST24116175?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:etm:ijsrst:v11:y2024:i6:id:408. 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: Pankaj Sharma (email available below). General contact details of provider: https://ijsrst.com/home .

    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.