International Journal of Multidisciplinary Research and Growth Evaluation  |  ISSN (Online): 2582-7138  |  Double-Blind Peer Review  |  Open Access  |  CC BY 4.0

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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN (Online): 2582-7138 | Open Access

Optimizing supply chain logistics for personalized medicine: Strengthening drug discovery, production, and distribution

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Volume: 4 | Issue: 1 | Pages: 832-841

Subject: Medical

Country: United States

DOI: https://doi.org/10.54660/IJMRGE.2023.4.1-832-841

License: CC BY 4.0

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Abstract

Personalized medicine, which tailors medical treatments to individual patient characteristics, represents a transformative shift in healthcare. However, its unique requirements pose significant challenges to traditional pharmaceutical supply chains, necessitating innovative solutions to optimize logistics and ensure the efficient delivery of patient-specific therapies. This paper explores the complexities involved in supply chain optimization for personalized medicine, focusing on the unique logistical demands of therapies such as gene and cell-based treatments, biologics, and the impact of patient-specific treatment variability. It examines the role of advanced technologies, including Artificial Intelligence (AI), Machine Learning (ML), Blockchain, Internet of Things (IoT), and predictive analytics, in enhancing visibility, security, and real-time tracking within the supply chain. Furthermore, it investigates strategic frameworks for improving supply chain efficiency and resilience, with an emphasis on adaptive logistics models, decentralized manufacturing approaches, and collaborations between pharmaceutical companies, logistics providers, and healthcare systems. Finally, the paper provides recommendations for future research and policy development to further strengthen the resilience and scalability of personalized medicine supply chains, ensuring the efficient and timely delivery of these transformative therapies.

How to Cite This Article

Oluchukwu Obinna Ogbuagu, Akachukwu Obianuju Mbata, Obe Destiny Balogun, Olajumoke Oladapo, Opeyemi Olaoluawa OJO, Muridzo Muonde (2023). Optimizing supply chain logistics for personalized medicine: Strengthening drug discovery, production, and distribution . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 4(1), 832-841. DOI: https://doi.org/10.54660/IJMRGE.2023.4.1-832-841

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Publication Information

Journal: International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE)

Publisher: Anfo Publication House

ISSN: 2582-7138 (Online)

Frequency: Bimonthly

Language: English

Open Access: Yes - This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

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