Context-Aware Decision Intelligence Engines for Personalized Cell Therapy Logistics

Author(s)	Ashish Patil
Country	United States
Abstract	The supply chain for autologous cell therapy is highly complex due to its personalized, patient-specific nature and regulatory requirements. Traditional logistics and planning systems lack the granularity, real-time adaptability, and contextual awareness needed for such high-stakes biological treatments [1]. This paper proposes a novel architecture for a context-aware Decision Intelligence Engine (DIE) specifically tailored for cell therapy logistics. The engine integrates real-time data from manufacturing, quality assurance, transportation, and patient readiness systems to orchestrate decisions on scheduling, resource allocation, and risk mitigation. A multi-layer architecture including context ingestion, predictive modeling, optimization, and stakeholder feedback is described. Implementation of such systems shows significant potential in reducing lead time, improving chain-of-identity compliance, and enhancing patient outcomes through timely delivery [2].
Field	Engineering
Published In	Volume 16, Issue 1, January-June 2025
Published On	2025-05-31
Cite This	Context-Aware Decision Intelligence Engines for Personalized Cell Therapy Logistics - Ashish Patil - IJAIDR Volume 16, Issue 1, January-June 2025. DOI 10.71097/IJAIDR.v16.i1.1437
DOI	https://doi.org/10.71097/IJAIDR.v16.i1.1437
Short DOI	https://doi.org/g9mv2j

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Journal of Advances in Developmental Research