Cold Chain Integrity and Shortage Prediction Intelligence: AI-Driven Supply Chain Resilience Frameworks for U.S. Pharmaceutical Manufacturing

Authors

  • Henrique Sentieiro Professor of Informatics, University of Coimbra

Keywords:

cold chain integrity, shortage prediction intelligence, supply chain resilience frameworks, u.s. pharmaceutical manufacturing, machine learning

Abstract

The pharmaceutical sector is one of the most critical industries for human life on the planet. It ensures the availability and quality of a wide range of medicinal products for population health, such as vaccines, chemotherapy, antibiotics, anesthetics, serious disease treatments, and other pharmaceuticals necessary for long-term use.

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Published

30-06-2022

How to Cite

[1]
“Cold Chain Integrity and Shortage Prediction Intelligence: AI-Driven Supply Chain Resilience Frameworks for U.S. Pharmaceutical Manufacturing”, Human-Computer Interaction Persp., vol. 2, no. 1, pp. 45–54, Jun. 2022, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/hcip/article/view/787