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Research and Reviews: A Journal of Pharmaceutical Science Review Article

AI Powered Invention in Pharmaceuticals Boosting Innovation

  1. Bhagyashri Sandip Patil Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy
  2. Patil Divyashree K Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy
  3. Patil Hetakshi V Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy
  4. Amruta N. Patil Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy
  5. Sunila.A.Patil Department of Pharmaceutical Quality Assurance, P.S.G.V.P. Mandal’sCollege of Pharmacy

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

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