Authors : Khadija Sankoh

Volume/Issue : Volume 11 - 2026, Issue 9 - September

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Google Scholar : https://tinyurl.com/32kezmvt

DOI : https://doi.org/10.38124/ijisrt/26sep934

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : This study develops a simulation-based artificial intelligence (AI) digital-twin framework for real-time monitoring and quality control of Good Manufacturing Practice (GMP) stem-cell manufacturing processes, with nonlinear bifurcation analysis used to identify loss-of-stability boundaries before conventional process limits are crossed. The supplied study dataset represents 60 manufacturing batches and 43,200 synchronized five-minute process states, including 14 online process variables and eight laboratory or soft-sensor critical quality attributes (CQAs).

Keywords : Artificial Intelligence, Bifurcation Analysis, Digital Twin, GMP, Process Analytical Technology, Quality Control, Stem-Cell Manufacturing, AUTO-07p.

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