Ai Biofabrication › AI-Powered Metabolic Pathway Prediction in Biofabricated Tissues
Graph Neural Networks for Pathway Topology and Flux Prediction
This research develops graph-based neural network models that encode metabolic pathway architecture to predict metabolic flux distributions and bottleneck reactions. The methodology produces interpretable computational frameworks for understanding complex pathway interdependencies in bioengineered tissues.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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