ISSN2320-2882
Impact Factor9.17
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ESTD2013
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Paper Title
Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery.
Authors
Deepali Pundlik Dangode , Snehal Dhewale , Dr. D.K. Vir , Bharti Adhane , Pooja Amte
Keywords
Artificial intelligence, drug discovery, machine learning, deep learning, drug formulation drug, drug design.
Abstract
Artificial intelligence (AI) is changing drug discovery by speeding up research, lowering costs, and improving success rates. Using methods like machine learning, deep learning, and NLP, AI quickly analyzes large datasets to find drug targets, predict how drugs will work, and improve drug design. It also helps identify side effects earlier and makes clinical trials more efficient through better patient selection and data analysis.Although AI offers many benefits, such as higher accuracy and reduced risks, challenges like data quality, model transparency, and regulatory issues remain. Improving data standards and collaboration will be important for future progress. Overall, AI has strong potential to create safer, more effective, and more affordable medicines.
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IJCRT — journal style
"Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery.", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.g685-g696, November 2025, Available :https://ijcrt.org/papers/IJCRT2511791.pdf
APA — 7th edition
Dangode, D. P., Dhewale, S., Vir, D. K., Adhane, B., & Amte, P. (2025). Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery. International Journal of Creative Research Thoughts, 13(11), g685-g696. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791
MLA — 9th edition
Dangode, Deepali Pundlik, et al. "Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. g685-g696, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791.
Chicago — 17th, bibliography
Dangode, Deepali Pundlik, et al. "Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery." International Journal of Creative Research Thoughts 13, no. 11 (2025): g685-g696. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791.
Harvard — author–date
Dangode, D.P. et al. (2025) 'Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery', International Journal of Creative Research Thoughts, 13(11), pp. g685-g696. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791
IEEE — numbered reference
D. P. Dangode, S. Dhewale, D. K. Vir, B. Adhane and P. Amte, "Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery," IJCRT, vol. 13, no. 11, pp. g685-g696, Nov. 2025.
Vancouver — biomedical
Dangode DP, Dhewale S, Vir DK, Adhane B, Amte P. Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery. IJCRT. 2025 Nov;13(11):g685-g696.
AMA — 11th edition
Dangode DP, Dhewale S, Vir DK, Adhane B, Amte P. Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery. IJCRT. 2025;13(11):g685-g696. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511791,
author = {Deepali Pundlik Dangode and Snehal Dhewale and D.K. Vir and Bharti Adhane and Pooja Amte},
title = {Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery.},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {11},
pages = {g685-g696},
year = {2025},
month = {November},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Dangode, Deepali Pundlik
AU - Dhewale, Snehal
AU - Vir, D.K.
AU - Adhane, Bharti
AU - Amte, Pooja
TI - Integrating artificial intelligence for drug discovery in the context of revolutionizing drug delivery.
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 11
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791
SP - g685-g696
ER -
Issue
Volume 13 Issue 11,
November-2025
Pages : g685-g696
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 11, November 2025
- Pages
- g685-g696
- Published
- November 2025
- Registration ID
- IJCRT_297355
- Published Paper ID
- IJCRT2511791
- Research Area
- Pharmacy All
- Author Type
- Indian Author
- Location
- Chhatrapati Sambhajinagar, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 215
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511791
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2511791.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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