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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges |
| Authors Name: | Aprajita Kimta , Dr. Reena Dogra |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_218238
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| Published Paper Id: | IJNRD2404490 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | The pharmaceutical sector in India has emerged as a global leader, contributing significantly to the production of affordable generic drugs and vaccines. Despite its success, the industry faces challenges from early research and development stages to market deployment. This research paper explores the future prospects and challenges of integrating Artificial Intelligence (AI) into the Indian pharmaceutical sector. Methodologically, the research relies on secondary data from 2011 to 2019, collected from various published sources, primarily the Reserve Bank of India. The evaluation of performance was conducted using compound annual growth rate. AI has the potential to address longstanding issues, enhance operational efficiency, and reduce costs associated with drug discovery and development. Successful integration requires collaborative efforts from the public and private sectors, emphasizing resource allocation for education, infrastructure, regulatory reforms, and workforce development. The incorporation of AI presents a transformative opportunity for the Indian pharmaceutical sector, offering advancements in drug development, manufacturing, and quality control. Despite the promising prospects, the paper acknowledges challenges in implementing AI, including financial limitations, workforce competency, data security concerns, and regulatory complexities. The study emphasizes the need for strategic collaboration to ensure responsible and effective utilization of AI in the pharmaceutical industry |
| Keywords: | Artificial intelligence, Pharmaceutical Sector, Drug Development, Research and development, Manufacturing, and Quality control. |
| Cite Article: | "Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.e873-e882, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404490.pdf |
| Downloads: | 00027 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404490 Registration ID: 218238 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: e873-e882 Country: Shimla, Himachal Pradesh, India Research Area: Other Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404490 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404490 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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