AI Powered Invention in Pharmaceuticals Boosting Innovation

Year : 2024 | Volume : 15 | Issue : 02 | Page : 102 107
    By

    Bhagyashri Sandip Patil,

  • Patil Divyashree K,

  • Patil Hetakshi V,

  • Amruta N. Patil,

  • Sunila.A.Patil,

  1. Student M Pharm, Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy, Maharashtra, India
  2. Student M Pharm, Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy, Maharashtra, India
  3. Student M Pharm, Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy, Maharashtra, India
  4. Assistant Professor, Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy, Maharashtra, India
  5. Assistant Professor, Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy, Maharashtra, India

Abstract

Artificial intelligence has the potential to transform the drug discovery process, making the process more efficient, accurate and faster. But the success of artificial intelligence depends on the availability of good data, resolution of ethical issues, and awareness of the limitations of artificial intelligencebased methods. The present article examined the benefits, challenges, and shortcomings of skills in the workplace and suggested strategies and practical actions to overcome current challenges. Data augmentation, the use of descriptive artificial intelligence, integration of artificial intelligence with traditional testing, and the potential benefits of artificial intelligence in pharmaceutical research were also discussed. Overall, the present review highlighted the potential of artificial intelligence in drug discovery and provided insight into the challenges and opportunities to realize the potential of artificial intelligence in this field. The purpose of the present article was to evaluate the ability of ChatGPT—a chatbot based on the GPT-3.5 language—to assist human authors in writing reviews. The intelligencegenerated text following our instructions was used as a starting point and evaluated for its ability to generate content. After full review, human writers will rewrite the text to ensure a balance between the recommendations and the research model.

Keywords: Artificial intelligence, Machine learning, Cognitive compting, Drug Discovery, AI Enabled Drug Discovery.

[This article belongs to Research & Reviews: A Journal of Pharmaceutical Science ]

How to cite this article:
Bhagyashri Sandip Patil, Patil Divyashree K, Patil Hetakshi V, Amruta N. Patil, Sunila.A.Patil. AI Powered Invention in Pharmaceuticals Boosting Innovation. Research & Reviews: A Journal of Pharmaceutical Science. 2024; 15(02):102-107.
How to cite this URL:
Bhagyashri Sandip Patil, Patil Divyashree K, Patil Hetakshi V, Amruta N. Patil, Sunila.A.Patil. AI Powered Invention in Pharmaceuticals Boosting Innovation. Research & Reviews: A Journal of Pharmaceutical Science. 2024; 15(02):102-107. Available from: https://journals.stmjournals.com/rrjops/article=2024/view=155990


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Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 07/05/2024
Accepted 24/06/2024
Published 11/07/2024
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