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Ai Organ On Chip

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Ai Organ On Chip

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Research Frontiers in Graph Neural Networks for Multicellular Interaction Prediction

GNN architectures that model cell-to-cell communication networks and predict emergent tissue behaviors from spatial and molecular interaction graphs.

Graph-Encoded Cellular Phenotype Trajectories in Tissue Models
Message-Passing Architectures for Emergent Tissue Behavior Prediction
Topological Computation of Paracrine Signaling Networks
Heterogeneous Graph Learning in Organ-Level Cellular Communication
Neural Hypergraph Dynamics of Multicellular Tissue Morphogenesis
Attention Mechanisms for Cell-Cell Interaction Hierarchy Discovery
Spatio-Temporal Graph Kernels in Organ-on-Chip Behavior Modeling
Graph Latent Spaces as Phenotypic State Manifolds in Tissue
Equivariant Neural Networks for Collective Cellular Dynamics
Graph Contrastive Learning in Multicellular Interaction Spaces

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