Ai Biofabrication › Deep Learning for Tumor Spheroid Growth Prediction
Graph Neural Networks for Multicellular Interaction Network Analysis
This research explores GNN frameworks to model spheroid cells as interconnected nodes and their biochemical interactions as weighted edges for predicting emergent growth behaviors. The academic contribution reveals how network topology and cellular heterogeneity collectively determine proliferation rates and hypoxic microenvironment formation.
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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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