This is a report on the 55-year follow-up of the first case of a craniopharyngioma patient who underwent gamma knife radiosurgery. The article details the medical history, diagnosis process, gamma knife surgery details, as well as the 55-year follow-up with multiple treatments, providing a comprehensive overview of the patient’s long medical journe...
Vertebral hemangiomas are the most common primary tumors of the spine. Most vertebral hemangiomas are asymptomatic benign lesions, but in a few cases, if the mass grows and extends into the epidural space, compressing the spinal cord or nerve roots, it may lead to neurological symptoms such as pain, sensory abnormalities, or motor deficits. The tre...
Outcomes of Mechanical Thrombectomy for Stroke Patients with Low Alberta Stroke Program Early CT Score Background Acute ischemic stroke is a life-threatening disease, and large vessel occlusion is one of the major causes of severe disability. Mechanical thrombectomy (MT) has become the standard treatment for acute ischemic stroke, with multiple cli...
Sagittal Imbalance Patterns in Degenerative Kyphosis of the Lumbar or Thoracolumbar Spine and Their Impact on Postoperative Complications Research Background Degenerative kyphosis (DK) is the most common type of spinal deformity in the elderly. Sagittal imbalance is a typical radiological feature of DK and is associated with a severe decline in qua...
This is a report on a new classification method for caudal agenesis: Caudal agenesis is a congenital disorder characterized by the absence of lower vertebrae. Previous classifications of caudal agenesis were primarily based on the level of bony deficiency or the position of the terminal spinal cord, but there has been debate as to whether these cla...
Correlation between Task Complexity and Accuracy of Cortical Language Mapping Introduction This study aimed to investigate whether task complexity affects the accuracy of mapping language functions during direct cortical stimulation mapping (DCS). The researchers hypothesized that due to the reduced computational ability of neurons in the cortex in...
This study revolves around the protein arginine methyltransferase PRMT9, revealing its important role in acute myeloid leukemia (AML) and its potential as an anticancer target. Researchers found that PRMT9 expression levels were significantly elevated in AML stem cells and leukemic cells. Through gene editing and chemical probes, they discovered th...
This study utilized a machine learning framework to explore the underlying cell states and cellular ecosystems constituting soft tissue sarcomas, and associated them with patient prognosis and response to immunotherapy. Research Background: Soft tissue sarcomas are rare and highly heterogeneous malignancies of connective tissues, with limited syste...
Major Breakthrough in Neuroscience Research: Deep Learning Technique Achieves Decoding of Natural Speech from Brain Signals A cross-disciplinary research team at New York University recently achieved a major breakthrough in the fields of neuroscience and artificial intelligence. They developed a novel deep learning-based framework that can directly...
From early drug discovery researchers face a daunting challenge – to find drug-like candidate molecules among approximately 10^60 possible molecular structures. One successful solution is to start from smaller “fragment” molecules, a strategy known as fragment-based drug design (FBDD). In the FBDD process, the first step is to computationally scree...