Pharmacogenomic Profiling of Intra-Tumor Heterogeneity Using a Large Organoid Biobank of Liver Cancer

Pharmacogenomic Profiling of Intra-Tumor Heterogeneity Using a Large Organoid Biobank of Liver Cancer

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 Collaterals Regulate Reperfusion in Ischemic Stroke and Rescue the Brain from Futile Recanalization

Leptomeningeal Collaterals Regulate Reperfusion in Ischemic Stroke and Rescue the Brain from Futile Recanalization

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...

A Magnetic Particle Imaging Approach for Minimally Invasive Imaging and Sensing with Implantable Bioelectronic Circuits

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...

Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos

Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos

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...

Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation

Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation

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 ...