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...

Scalp nerve block alleviates headaches associated with sonication during transcranial magnetic resonance–guided focused ultrasound

In this academic paper, the authors attempt to address the common headache complication during magnetic resonance-guided focused ultrasound (mrgFUS) treatment. Headache is a common complication, and in severe cases, it may even cause patients to be unable to tolerate ultrasound radiation and terminate the treatment. There is currently no establishe...

Targeting PRMT9-mediated arginine methylation suppresses cancer stem cell maintenance and elicits CGAS-mediated anticancer immunity

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...

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions

The 5’ untranslated region (5’UTR) is a regulatory region at the start of messenger RNA (mRNA) molecules, playing a crucial role in regulating the translation process and affecting protein expression levels. Language models have demonstrated effectiveness in decoding protein and genomic sequence functions. In this study, the authors introduce a lan...

Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy

Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy

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...