A novel neural network model that combines fuzzy logic with sparse autoencoding to enhance feature extraction and representation from complex biological data. This approach improves robustness and interpretability in unsupervised learning tasks, particularly useful for high-dimensional datasets such as gene expression profiles. 

An innovative diagnostic platform leveraging immune organoids—3D cultures that mimic human immune tissues—to model disease mechanisms and predict patient-specific responses. This technology enables precise and personalized detection of immune-related diseases by replicating the body's natural immune environment in vitro. 

A comprehensive computational framework that constructs a “dictionary” of immune cell responses to various cytokines. By mapping cytokine signaling patterns, this approach facilitates deeper understanding of immune regulation and aids in identifying biomarkers for immune dysfunctions and therapeutic targets.