The Biological Basis of Regional ECM Breakdown and Nerve Invasion in Pancreatic Cancer Background Pancreatic Ductal Adenocarcinoma (PDAC) is one of the most aggressive types of cancer, typically associated with a highly fibrotic stroma, which can account for about 90% of the tumor mass. Although morphological heterogeneity is not addressed in routi...

Research Report on the Analysis of Immunological Characteristics of Peripheral Blood in Cancer Patients Cancer is a major and pervasive health problem globally. Despite significant advances in cancer treatment in recent years, many challenges remain, including how to accurately predict patients’ responses to various treatments. Immunotherapy, parti...

Analysis of Intratumor Heterogeneity in Liver Cancer Using Pharmacogenomics: A Study Based on a Large-Scale Organoid Biobank Academic Background Primary liver cancer (PLC) is the third leading cause of cancer-related deaths worldwide, mainly comprising hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), and a mixed form called co...

Leptomeningeal Glial Modulation of Ischemic Stroke Reperfusion to Avoid Futile Recanalization Background Ischemic Stroke is caused by the sudden blockage of cerebral arteries, leading to millions of disabilities and deaths globally each year. The current treatment for ischemic stroke primarily involves intravenous thrombolysis or mechanical thrombe...

Multi-template Meta-information Regularized Network for Alzheimer’s Disease Diagnosis: A Study Based on Structural MRI Research Background Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder, and its diagnosis and early detection is a significant challenge in the medical field. Structural MRI (sMRI) is widely used in computer-aided...

Application of Implicit Regularization Learning Network Based on Noise Generation and Imaging Mechanisms in Low-Dose CT Reconstruction Low-Dose Computed Tomography (LDCT) has become an important tool in modern medical imaging, aiming to reduce radiation risks while maintaining image quality. However, reducing the X-ray dose often leads to data corr...

Time-Efficient Ultrasound Localization Microscopy Based on Novel Radial Basis Function Two-Dimensional Interpolation Introduction Ultrasound technology is a major medical imaging technique widely used for visualizing subcutaneous structures such as organs, muscles, and arteries due to its safety, cost-effectiveness, and non-invasiveness. However, t...

Minimally Invasive Imaging and Sensing Methods Based on Magnetic Particle Imaging and the Application of Implanted Electronic Circuits Academic Background In modern medicine, minimally invasive and biocompatible implantable bioelectronics are widely used for long-term monitoring of physiological processes inside the body. However, methods for imagi...

Unsupervised Fusion of Unaligned PAT and MRI Images Using Mutually Enhancing Cross-Modality Image Generation and Registration Methods Background and Research Objectives In recent years, photoacoustic tomography (PAT) and magnetic resonance imaging (MRI) have been widely used in preclinical research as cutting-edge biomedical imaging techniques. PAT...

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation Background Introduction Medical image segmentation plays a crucial role in clinical diagnosis as it helps doctors identify and analyze diseases. However, this task typically faces challenges such as sensitive data, privacy issues, and expensive annotation costs. W...