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Unlocking Therapeutic Potential: AI-Powered Drug Repurposing Strategies for Rapid Pandemic Response

EasyChair Preprint no. 11959

10 pagesDate: February 5, 2024


In the face of unprecedented global health crises, the utilization of artificial intelligence (AI) emerges as a potent tool for expediting drug repurposing, offering accelerated solutions in pandemic response. This paper delves into innovative AI-driven strategies to identify and repurpose existing drugs for therapeutic purposes, outlining their potential impact on enhancing treatment timelines and mitigating the challenges posed by rapidly evolving infectious diseases. The emergence of novel infectious diseases, such as the COVID-19 pandemic, has highlighted the need for innovative approaches to drug discovery and development. Artificial intelligence (AI) has emerged as a powerful tool in this endeavor, offering the potential to accelerate drug repurposing processes and expedite the identification of potential treatments for pandemics. This paper explores the application of AI in drug repurposing during pandemic responses, delving into its methodologies, challenges, and ethical considerations. Additionally, it assesses the role of AI in current and future pandemic preparedness efforts, emphasizing the importance of collaboration between researchers, healthcare institutions, and pharmaceutical companies. Through a comprehensive review of the literature and case studies, this paper aims to provide a holistic understanding of AI's impact on drug repurposing in the context of pandemic response

Keyphrases: Accelerated Solutions, Artificial Intelligence, drug repurposing, pandemic response, strategies, Therapeutic

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Asad Ali and Yukiya Warmth},
  title = {Unlocking Therapeutic Potential: AI-Powered Drug Repurposing Strategies for Rapid Pandemic Response},
  howpublished = {EasyChair Preprint no. 11959},

  year = {EasyChair, 2024}}
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