Genetics Impact Risk of Alzheimer's Disease through Mechanisms Modulating Structural Brain Morphology in Late Life

In recent years, Alzheimer’s disease (AD) has become a significant health problem affecting the elderly population worldwide. Its related neuropathological changes can begin decades before the appearance of clinical symptoms. To explore more comprehensively the relationship between AD risk and brain morphology, a research team conducted a bidirecti...

GLP-1-directed NMDA Receptor Antagonism for Obesity Treatment

GLP-1-Directed NMDA Receptor Antagonism for Obesity Treatment In recent decades, obesity has become a global health problem, seriously affecting the quality of life and health of millions of people. Obesity is not only associated with numerous health issues such as diabetes, hypertension, and cardiovascular diseases but also severely impacts mental...

Diffusion Model Optimization with Deep Learning

Diffusion Model Optimization with Deep Learning

Dimond: A Study on Optimizing Diffusion Models through Deep Learning Academic Background In brain science and clinical applications, Diffusion Magnetic Resonance Imaging (dMRI) is an essential tool for non-invasively mapping the microstructure and neural connectivity of brain tissue. However, accurately estimating parameters of the diffusion signal...

Integrative Molecular and Spatial Analysis Reveals Evolutionary Dynamics and Tumor-Immune Interplay of In Situ and Invasive Acral Melanoma

Integrative Molecular and Spatial Analysis Reveals Evolutionary Dynamics and Tumor-Immune Interplay of In Situ and Invasive Acral Melanoma

Integrated Molecular and Spatial Analysis Reveals Evolutionary Dynamics and Tumor-Immune Interactions in In Situ and Invasive Acral Melanoma Academic Background of the Paper Melanoma is a type of skin cancer, and acral melanoma (AM) is a kind that occurs on non-exposed areas such as the palms, soles, and under the nails and is particularly common a...

Fixel-Based Analysis Reveals Tau-Related White Matter Changes in Early Stages of Alzheimer’s Disease

Report: Revealing White Matter Changes Associated with Tau in Early Alzheimer’s Disease through Fixel-based Analysis Research Background Alzheimer’s Disease (AD) is generally thought to primarily affect the grey matter (GM), but more and more evidence shows that the white matter (WM) also experiences abnormalities. Current research largely relies o...

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients with Myelodysplastic Syndromes

Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem-Cell Transplantation in Patients with Myelodysplastic Syndromes

Background Myelodysplastic Syndromes (MDS) are a group of heterogeneous diseases originating from bone marrow hematopoietic stem cells, characterized by reduced blood cell production. Although certain progress in treatment has been made in recent years, allogeneic hematopoietic stem-cell transplantation (HSCT) remains the only potentially curative ...

Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Self-Supervised Deep Learning-Based Denoising for Diffusion Tensor MRI

Background Introduction Diffusion Tensor Magnetic Resonance Imaging (DTI) is a widely used neuroimaging technique for imaging the microstructure of brain tissues and white matter tracts. However, noise in Diffusion-Weighted Images (DWI) can reduce the accuracy of microstructural parameters derived from DTI data and also necessitate longer acquisiti...

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning

DeepDTI: High-Fidelity Six-Direction Diffusion Tensor Imaging Using Deep Learning Research Background and Motivation Diffusion Tensor Imaging (DTI) boasts unparalleled advantages in mapping the microstructure and structural connectivity of live human brain tissue. However, traditional DTI techniques require extensive angular sampling, leading to pr...

Routine CSF parameters as predictors of disease course in multiple sclerosis: an MSBase cohort study

Research Report: Predictive Role of Cerebrospinal Fluid Routine Parameters in the Disease Process of Multiple Sclerosis Background Multiple Sclerosis (MS) is characterized by a highly variable and unpredictable disease course. In the diagnosis of MS, cerebrospinal fluid (CSF) analysis is often a standard procedure. However, there has been ongoing d...

Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase–Wildtype Glioblastoma

Extent of Resection Thresholds in Molecular Subgroups of Newly Diagnosed Isocitrate Dehydrogenase–Wildtype Glioblastoma

Study on the Extent of Resection Threshold in Different Molecular Subtypes of Newly Diagnosed IDH-wildtype Glioblastoma Introduction Glioblastoma (GBM) is the most common malignant brain tumor in adults. Although surgical resection, radiotherapy, and chemotherapy are the current standard treatment regimens, the prognosis of GBM remains poor, with a...