How Does Orientation-Tuned Normalization Spread Across the Visual Field?

Study on Orientation-Tuned Gain Control Mechanisms in the Visual Cortex Academic Background Visual perception is a complex neural process influenced by contextual environments. Surround suppression is an important phenomenon that describes how the perceived contrast of a stimulus is attenuated when surrounded by other stimuli. The neural mechanisms...

Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection

Academic Background and Research Motivation In the field of dental healthcare, Cone Beam Computed Tomography (CBCT) is a widely used three-dimensional imaging technique. CBCT provides three-dimensional images of the oral cavity and is particularly effective in diagnosing odontogenic lesions. However, the segmentation of CBCT images—labeling each vo...

Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems

Improving Glioblastoma Treatment with Imaging, Radiotherapy, Drug Delivery, and Therapeutic Systems Academic Background Glioblastoma (GBM) is the most common and aggressive type of brain cancer, with an extremely poor prognosis and a five-year survival rate of less than 10%. Despite decades of extensive research in drug therapy, radiation therapy, ...

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules

Targeted Drug Delivery Using Self-Unrolling Sheets in Magnetically Actuated Capsules Background Gastrointestinal (GI) diseases, such as inflammatory bowel disease, GI bleeding, and cancer, are significant global health issues. Traditional treatment methods, such as endoscopy and oral medications, though effective to some extent, have many limitatio...

Residual-Dense Network for Glaucoma Prediction Using Structural Features of Optic Nerve Head

Using Residual Dense Network (RD-Net) for Glaucoma Prediction Based on Structural Features of the Optic Nerve Head Background and Research Purpose Glaucoma is one of the leading causes of blindness worldwide, often referred to as the “silent thief of sight.” It is characterized by the progressive degeneration of the optic nerve head (ONH), resultin...

Single-Molecule Systems for the Detection and Monitoring of Plasma-Circulating Nucleosomes and Oncoproteins in Diffuse Midline Glioma

Exploring the Applications of Single-Molecule Systems for Detection and Monitoring of Plasma-Circulating Nucleosomes and Oncoproteins in Diffuse Midline Glioma Research Background and Problem Overview Diffuse Midline Glioma (DMG) is a highly aggressive brain tumor primarily affecting children with extremely high mortality rates. This type of tumor ...

GLUT1-targeted near-infrared fluorescence molecular imaging for precise intraoperative detection of breast cancer

A Novel GLUT1-Targeted Fluorescence Imaging Tracer: Advances in Intraoperative Breast Cancer Detection Background and Problem Statement Breast cancer is one of the most common malignancies among women worldwide, with an estimated 2.3 million new cases and approximately 666,000 deaths globally in 2022. Surgical treatment for breast cancer typically ...

Fibroblast Activation Protein-Targeted NIR-I/II Fluorescence Imaging for Detecting Hepatocellular Carcinoma

A Novel Near-Infrared Fluorescence Imaging Study Targeting Hepatocellular Carcinoma (HCC) Hepatocellular carcinoma (HCC) ranks as the sixth most common malignancy and the third leading cause of cancer-related mortality worldwide. Statistics indicate that the postoperative recurrence rate of HCC reaches as high as 80%, with liver fibrosis or cirrhos...

Association of Objective Subtle Cognitive Difficulties with Amyloid-β and Tau Deposition in Alzheimer's Disease

Research Progress on Early Alzheimer’s Stages: Focusing on Differences Between Objective Subtle Cognitive Difficulties and Subjective Cognitive Decline Alzheimer’s disease (AD) is a critical topic in modern neuroscience and geriatric medicine research. Its pathological process begins years before the onset of clinical symptoms. Increasing evidence ...

Empowering PET Imaging Reporting with Retrieval-Augmented Language Models and Reading Reports Database: A Pilot Study

The Application of Large Language Models in PET Imaging Reports: A Single-Center Pilot Study Combining Retrieval-Augmented Generation With the rapid development of artificial intelligence, large language models (LLMs) have gained widespread attention for their zero-shot learning and natural language processing capabilities in the medical domain. Al...