Results 41 to 50 of about 49,274 (284)
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
A robust adaptive wavelet-based method for classification of meningioma histology images [PDF]
Intra-class variability in the texture of samples is an important problem in the domain of histological image classification. This issue is inherent to the field due to the high complexity of histology image data.
Qureshi, Hammad A. +3 more
core
An activity‐dependent pathway links prefrontal circuit hypoactivity to cognitive impairment. Reduced PVA–mPFC activity upregulates NEPAS, which suppresses PTX3 secretion, leading to impaired angiogenesis, myelin deficits, and memory decline. Rescue is achieved by NEPAS knockdown or chemogenetic circuit activation.
Boya Hu +11 more
wiley +1 more source
Abstract Spinal meningiomas (SM) are lesions with a mostly favorable oncological and surgical prognosis and a low incidence of tumor recurrence. SM account for approximately 1.2–12.7% of all meningiomas and 25% of all spinal cord tumors. Typically, SM are located in the intradural extramedullary space. SM grow slowly and spread laterally
Hohenberger, Christoph +7 more
openaire +3 more sources
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
Optimal wavelet basis for wavelet packets based meningioma subtype classification [PDF]
Wavelets based analysis has been used frequently in literature for texture analysis and features extraction. Due to the availability of many wavelet filters, the issue of the selection of the optimal filter for a certain problem has always been an ...
Qureshi, Hammad A. +2 more
core
ABSTRACT WAGR spectrum disorder (WAGRSD) is an ultra‐rare congenital disorder caused by heterozygous deletion of chromosome 11p13. While classically associated with Wilms tumor, Aniridia, Genitourinary anomalies, and a Range of developmental delays, accurate delineation of the deletion is critical for prognosis because the phenotypic spectrum extends ...
Andrew M. George +11 more
wiley +1 more source
Mendelian randomization identifies the characteristic plasma metabolite profile of meningioma
Introduction Meningioma, a prevalent intracranial tumor, presents diagnostic and therapeutic challenges due to its heterogeneous nature. Metabolic profiling has emerged as a promising approach to elucidate its underlying molecular mechanisms and discover
Weixin Zheng +6 more
doaj +1 more source
ABSTRACT Background Olfactory dysfunction is a hallmark feature of COVID‐19, yet the potential for recovery with long‐standing COVID‐19‐related smell loss (CRSL) remains uncertain, particularly when treatment is initiated years later. This study evaluated olfactory outcomes in patients with CRSL compared with non‐COVID‐19‐related smell loss (non‐CRSL),
John W. Hunsicker +6 more
wiley +1 more source
Paediatric development of radiopharmaceutical imaging agents and radioligand therapeutics
Abstract This review focuses on the development of radiopharmaceutical imaging agents and radioligand therapeutics for paediatric use. Nuclear medicine plays an important role in the diagnosis and treatment of various childhood conditions, including cancers, infections and brain disorders.
Justin L. Hay +5 more
wiley +1 more source

