CaNet: Context Aware Network for Brain Glioma Segmentation

CaNet: Context Aware Network for Brain Glioma Segmentation

Context-Aware Network Study Report for Glioma Segmentation Glioma is a common type of adult brain tumor that severely harms health and has a high mortality rate. To provide sufficient evidence for early diagnosis, surgical planning, and postoperative observation, multimodal Magnetic Resonance Imaging (MRI) has been widely applied in this field. The...

Empowering Glioma Prognosis with Transparent Machine Learning and Interpretative Insights Using Explainable AI

Enabling Explainable Artificial Intelligence for Glioma Prognosis: Translational Insights from Transparent Machine Learning Academic Background This study is dedicated to developing a reliable technique to detect whether patients have a specific type of brain tumor—glioma—using various machine learning methods and deep learning methods, combined wi...

Glioma Survival Analysis Empowered with Data Engineering—A Survey

Survival Analysis of Glioblastoma Patients: An Overview Empowered by Data Engineering Introduction Glioblastoma is a type of tumor that occurs in glial cells and accounts for 26.7% of all primary brain and central nervous system tumors. Survival analysis of glioblastoma patients is a key task in clinical management due to the heterogeneity of the t...

Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth

Personalized Prediction of Glioma Growth Using Bayesian Inference Introduction Glioblastoma is the most aggressive type of primary brain tumor, characterized by highly invasive tumor cells that spread to surrounding tissues. Conventional medical imaging techniques cannot precisely identify these diffuse tumor boundaries, leading to suboptimal clini...

A Numerical Analysis of Rectangular Open Channel Embedded TiO2-Au-MXene Employed PCF Biosensor for Brain Tumor Diagnosis

Numerical Analysis of Rectangular Open-Channel PCF Biosensor Embedded with TiO2-Au-MXene for Brain Tumor Diagnosis Academic Background and Problem Statement In recent years, the development of cost-effective and highly reliable biosensors has become a research hotspot. These sensors aim to detect minute concentrations of analytes and cover a wide a...

Comparison of Sonication Patterns and Microbubble Administration Strategies for Focused Ultrasound-Mediated Large-Volume Drug Delivery

Comparison of Acoustic Patterns and Microbubble Delivery Strategies in Large-Volume Drug Delivery Mediated by Focused Ultrasound for Blood-Brain Barrier Opening Background Diffuse Intrinsic Pontine Glioma (DIPG) is the most common and lethal brainstem tumor in children. Due to the usually intact blood-brain barrier (BBB) in DIPG, drug penetration i...

Phosphocreatine Promotes Epigenetic Reprogramming to Facilitate Glioblastoma Growth through Stabilizing BRD2

The research results, completed in collaboration by many scientists including Lishu Chen, Qinghui Qi, and Xiaoqing Jiang, were published in the groundbreaking journal Cancer Discovery. The report detailed how phosphocreatine (PCr) promotes the growth of glioblastoma (GBM) by stabilizing bromodomain-containing protein 2 (BRD2). This discovery provid...

CHD2 Regulates Neuron-Glioma Interactions in Pediatric Glioma

Research Report on the Regulation of Neuron-Glioma Interactions by CHD2 in Pediatric Gliomas Background High-grade gliomas (HGG) are fatal diseases in both adult and pediatric patients. Recent studies have shown that neuronal activity can promote the progression of various high-grade glioma subgroups. However, the epigenetic mechanisms regulating t...

Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank

Research Background: Suicide is a global public health challenge, but there is still significant uncertainty regarding the relationship between behavioral and physiological factors and suicide attempts (SA). Previous studies often focus on limited hypothesized factors such as mental illnesses (e.g., depression), personality and psychological traits...

Multiplex Cerebrospinal Fluid Proteomics Identifies Biomarkers for Diagnosis and Prediction of Alzheimer's Disease

Cerebrospinal Fluid Proteomics Study for Diagnosis and Prediction of Alzheimer’s Disease Background and Research Objectives Alzheimer’s disease (AD) is a neurodegenerative disease that leads to memory loss and cognitive decline, and currently, there is no effective cure globally. Traditionally, the pathological features of AD include β-amyloid (Aβ)...