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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: | ROLE OF AI IN PHARMACEUTICALS- UNVEILING OPPORTUNITIES AND CHALLENGES: A COMPREHENSIVE OVERVIEW |
| Authors Name: | Diksha Dhiman , Amol Patial , Anjana Kumari , Abhay Sharma , Sunil Kumar |
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IJNRD_216166
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| Published Paper Id: | IJNRD2403440 |
| Published In: | Volume 9 Issue 3, March-2024 |
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| Abstract: | The integration of artificial intelligence (AI) in the pharmaceutical industry has garnered significant attention due to its potential to revolutionize drug discovery, development, and manufacturing processes. This review article provides a comprehensive overview of the current landscape of AI applications in pharmaceuticals, highlighting both the opportunities and challenges associated with its implementation. First, we discuss the role of AI in drug discovery, including virtual screening, molecular modeling, and target identification. We examine how AI-driven approaches can accelerate the identification of novel drug candidates, optimize lead compounds, and predict drug-target interactions with enhanced accuracy and efficiency. Next, we explore the applications of AI in drug development, focusing on clinical trial optimization, patient stratification, and biomarker discovery. We assess how AI algorithms can streamline clinical trial design, predict patient responses to treatments, and identify potential biomarkers for personalized medicine approaches. Furthermore, we investigate the utilization of AI in pharmaceutical manufacturing, encompassing process optimization, quality control, and supply chain management. We analyze how AI-powered technologies can enhance manufacturing efficiency, ensure product quality, and optimize supply chain operations to meet growing demands. Despite the promising opportunities presented by AI in pharmaceuticals, several challenges must be addressed to realize its full potential. These challenges include data quality and availability, regulatory considerations, ethical concerns, and the need for interdisciplinary collaboration. We provide insights into these challenges and offer recommendations for overcoming them to facilitate the successful integration of AI in the pharmaceutical industry. |
| Keywords: | Pharmaceutical sciences; Artificial intelligences; Patient monitoring; Prediction; Accelerated Drug discovery; Toxicology |
| Cite Article: | "ROLE OF AI IN PHARMACEUTICALS- UNVEILING OPPORTUNITIES AND CHALLENGES: A COMPREHENSIVE OVERVIEW ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.e314-e319, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403440.pdf |
| Downloads: | 00048 |
| 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:IJNRD2403440 Registration ID: 216166 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: e314-e319 Country: Palampur, Himachal Pradesh, India Research Area: Pharmacy Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403440 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403440 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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