Publication of a New Study on ALS Neurodegeneration in 《Nature Aging》 Throughout human history, numerous mysterious diseases have posed significant challenges for scientific research. Among these, Amyotrophic Lateral Sclerosis (ALS), a progressive neurodegenerative disease, is known for the gradual loss of muscle function and disability it causes. ...
Scientific Research Report Background Introduction For a long time, aging has been considered an irreversible process. However, recent research suggests that aging is a biological process that can be regulated. Various interventions have been shown to delay or even reverse certain characteristics of aging. Partial reprogramming is a method that rev...
In the global context, the Planetary Health Diet has been proposed as a way to improve human health while protecting the Earth. However, studies on the relationship between the Planetary Health Diet and cognitive decline are very limited. To fill this research gap, researchers Natalia Gomes Gonçalves, Leandro Teixeira Cacau, Naomi Vidal Ferreira, P...
Improvement of Cognitive Impairment Induced by Hearing Loss Background Alzheimer’s Disease (AD) is a common dementia characterized by extracellular amyloid plaques formed by aggregation of amyloid-β (Aβ) and intracellular neurofibrillary tangles formed by aggregated tau protein. Epidemiological studies indicate a close correlation between hearing l...
Research Background and Objectives With over 50 million people worldwide affected by cognitive impairment disorders, this number is expected to double by 2050. Alzheimer’s disease (AD) is the most common form of dementia, characterized by extracellular amyloid-beta (Aβ) plaques and intracellular tau protein aggregates in the brain. Over the past tw...
Plasma Proteomics Predicts the Future Risk of Dementia in Healthy Adults Background and Significance Predicting dementia has always been a significant challenge in the medical field. With the development of proteomics, biomarkers in the blood offer new opportunities for predicting the onset of dementia. This study focuses on data from the UK Bioban...
“Prediction of Glioma Grades Based on Radiomic Features Inside and Outside Tumors Using Multiparametric MRI Images” Research Background Glioma is the most common primary brain tumor in the central nervous system, accounting for 80% of adult malignant brain tumors. In clinical practice, treatment decisions often require individualized adjustments ba...
Graph Convolutional Network Based on Self-Attention Similarity for Multi-type Low-Grade Glioma Classification 1. Research Background Low-grade glioma is a common malignant brain tumor caused by the cancerous transformation of glial cells in the brain and spinal cord. Gliomas are characterized by high incidence, high recurrence rate, high mortality ...
Application of Multi-modal Disentangled Variational Autoencoder and Game Theory Interpretability in Glioma Grading Background Gliomas are the most common primary brain tumors in the central nervous system. According to cellular activity and invasiveness, the World Health Organization (WHO) classifies them into grades I to IV, with grades I and II r...
Research Report on Fully Automated Multimodal MRI Multi-task Learning for Glioma Segmentation and IDH Gene Typing Background of the Study Glioma is the most common primary brain tumor in the central nervous system. According to the World Health Organization (WHO) 2016 classification, gliomas are divided into low-grade gliomas (LGG, grades II and II...