Advanced Intelligent Computing Technology and Applications

.- Biomedical Data Modeling and Mining. .- IMVSC: An Improved Multiview Subspace Clustering in Multimodal Medical Image Application. .- Pathway Variational Auto Encoder for Survival Prediction. .- Predicting MiRNA-Disease Associations Using Chebyshev Graph Convolution and Graph. .- A Hybrid Architecture for 3D Abdominal Medical Images Based on Mamba. .- MoRE: Structured Multisignal Encoding for Human Disposition Recognition from Short Media Clips. .- FPLRDGraph-DTA: Fusing Prior Features and Long-Range Dependent Sequence Features for Drug-Target Affinity Prediction. .- A Dual-Loss-GCN Model for Cuffless Blood Pressure Estimation Using Photoplethysmography. .- Graph Attention Network and Dynamic Adjustment Mechanism for Drug Recommendation. .- Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking. .- Anatomy-aware Mixture of Experts for Medical Vision-Language Pre-training. .- SC-AGR: Spatially-Constrained Attention for Context-Aware Graph Representation in Histopathology Whole Slide Image Analysis. .- MPD-MFF: A Multimodal Parkinson's Disease Detection Method Based on Multi-Feature Fusion. .- An Efficient Metadata Processing Method Based on Attention Mechanism. .- MKDTI: Predicting Drug-target Interactions Via Multiple Kernel Fusion on Graph Attention Network. .- BiGAMR-Net: Bidirectional Gated Attention and Multi-scale Residual Network for Polyp Segmentation. .- HERMES: Heterogeneous Mixture of Experts Based on Segments for Auditory Attention Decoding. .- Advanced Predictive Analytics for Hemorrhagic Complications: A Multi Modal Contrastive Learning and Stacking Ensemble Approach. .- A Prediction Method for Adult Height of Children Based on ACPSO-SVR. .- Drug–Target Binding Affinity Prediction Based on an Improved Kolmogorov–Arnold Network and Pretrained Models. .- Landviewer: Characterization of Tissue Landscapes with Multi-view Graph Learning from Spatially Resolved Transcriptomics. .- Inter-Relationship Between Pain and Depressive Symptoms in Chinese Middle-Aged and Older People: A Network Analysis. .- SR-Net: High-Precision Hippocampal Segmentation and Radiomics-Based Pipeline for Alzheimer's Disease Diagnosis and Prediction. .- HNGF-NET: Hybrid Neural-Gabor Fusion Network for Brain Glioma Segmentation. .- CorGPT: Coronary Angiography Imaging Analysis Using Large Medical Vision-Language Models. .- M3Diff: Semantic Mask-Guided 3D Medical Image Synthesis via Mamba-U Net Hybrid for Data Augmentation. .- KSIR-MIL: Key Region Selection and Instance Refinement for Multi Instance Learning in Whole Slide Image Classification. .- A Medical Image Segmentation Network for Low-Resource Scenario. .- OCTAMLLA-UNet: Leveraging Multi-Scale Linear Local Attention for Accurate OCTA Retinal Image Segmentation. .- Mitigating High-Scale Dominance in WSI Classification: A Cross-Attention and Hard Instance Mining Framework. .- Drug-Target Interaction prediction based on lightweight MoE. .- PLHGMDA: Pre-trained Language model and Heterogeneous Graph neural network for MiRNA-Disease Association Prediction. .- DCA-Enhancer: A Dual-Scale Convolutional Attention Network for Accurate Enhancer Identification and Strength Prediction. .- Predicting Antibiotic Resistance Genes Using a Hybrid Dataset with NT Model and BLAST Validation. .- Masked Bi-LSTM with Unsupervised Encoding for Genomic Breeding Value Estimation. .- Intelligent Computing in Drug Design. .- Generating a Trustworthy Hypergraph for Traditional Chinese Medicine Prescription Evaluation and Screening. .- DrugGAN-MSM: A Generative Adversarial Approach to Molecular Design Integrating Masked Modeling and Multi-Objective Optimization. .- CroMamba-DTA: Cross-Mamba for Drug-Target Binding Affinity Predicti