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...
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...
Research Report on Semi-Supervised Detection of Thyroid Nodules in Ultrasound Videos Research Background Thyroid nodules are common thyroid diseases. Early screening and diagnosis of thyroid nodules typically rely on ultrasound examinations, a common non-invasive detection method used for detecting various diseases such as thyroid nodules, breast c...
Research Background and Motivation Medical image segmentation is of great significance in the image analysis of anatomical structures and lesion areas, as well as in clinical diagnosis. However, existing fully supervised learning methods rely on a large amount of annotated data, and obtaining pixel-level annotated data for medical images is costly ...
Research on 3D/2D Vascular Registration Based on Monte Carlo Tree Search and Manifold Regularization In interventional vascular surgery, enhanced intraoperative real-time imaging technology can compensate for the shortcomings of DSA navigation, such as the lack of depth information and excessive use of toxic contrast agents, by projecting preoperat...
Exploration of Coincidence Detection of Cascade Photons to Improve Multi-Nuclide SPECT Imaging Radiopharmaceutical Therapy (RPT) has garnered increasing interest in recent years, especially in SPECT imaging involving the simultaneous use of multiple tracers. Traditional imaging methods are prone to scattering and crosstalk from different energy γ-r...
Background Introduction A hundred years ago, Hevesy first proposed using radioactive tracers as biological markers in plants, later validated through experiments in rats. This discovery propelled the development of nuclear medicine and molecular imaging in the biomedical field, making it possible to quantitatively visualize biological processes at ...
Research and Application of Denoising Head Impact Kinematics Measurement Based on Convolutional Neural Networks Research Background Mild Traumatic Brain Injury (MTBI) is a global health threat. Humans often face the risk of MTBI in situations such as falls, traffic accidents, and sports. According to statistics, there were over 27 million brain inj...
Low-Field MRI Image Reconstruction Using Physics-Informed Deep Learning Background: The application of magnetic resonance imaging (MRI) technology in low-field magnetic resonance imaging has gained increasing attention in recent years. Low-field MRI, due to its low cost and simplified maintenance, is considered to have a broad application prospect ...