A supervised graph-based deep learning algorithm to detect and quantify clustered particles.

Considerable efforts are currently being devoted to characterizing the topography of membrane-embedded proteins using combinations of biophysical and numerical analytical approaches. In this work, we present an end-to-end (, human intervention-independent) algorithm consisting of two concatenated binary Graph Neural Network (GNNs) classifiers with the aim of detecting and quantifying dynamic clustering of particles. As the algorithm only needs simulated data to train the GNNs, it is parameter-independent.

Precision Medicine for Blood Glutamate Grabbing in Ischemic Stroke.

Glutamate grabbers, such as glutamate oxaloacetate transaminase (GOT), have been proposed to prevent excitotoxicity secondary to high glutamate levels in stroke patients. However, the efficacy of blood glutamate grabbing by GOT could be dependent on the extent and severity of the disruption of the blood-brain barrier (BBB). Our purpose was to analyze the relationship between GOT and glutamate concentration with the patient's functional status differentially according to BBB serum markers (soluble tumor necrosis factor-like weak inducer of apoptosis (sTWEAK) and leukoaraiosis based on neuroimaging).

[Unilateral thalamotomy with high intensity focal ultrasound in patients with refractory essential tremor: a comparative study between patients under and over 70 years of age].

Introduction: High intensity focal ultrasound (HIFU) thalamotomy is a novel treatment for refractory tremor. This study aims to compare the reduction in tremor intensity and adverse effects of treatment between patients younger and older than 70 years of age.

Patients And Methods: All the patients with refractory essential tremor treated with HIFU between March 2021 and March 2023 were included consecutively.

Systemic biomarker associated with poor outcome after futile reperfusion.

Background: Successful recanalization does not lead to complete tissue reperfusion in a considerable percentage of ischemic stroke patients. This study aimed to identify biomarkers associated with futile recanalization. Leukoaraiosis predicts poor outcomes of this phenomenon.

Perfusion-weighted software written in Python for DSC-MRI analysis.

Introduction: Dynamic susceptibility-weighted contrast-enhanced (DSC) perfusion studies in magnetic resonance imaging (MRI) provide valuable data for studying vascular cerebral pathophysiology in different rodent models of brain diseases (stroke, tumor grading, and neurodegenerative models). The extraction of these hemodynamic parameters via DSC-MRI is based on tracer kinetic modeling, which can be solved using deconvolution-based methods, among others. Most of the post-processing software used in preclinical studies is home-built and custom-designed.