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Prediction of Central Post-Stroke Pain by Quantitative Sensory Testing.
Ann Neurol
December 2024
Department of Neurology, Jewish Hospital Berlin, Berlin, Germany.
Objective: Among patients with acute stroke, we aimed to identify those who will later develop central post-stroke pain (CPSP) versus those who will not (non-pain sensory stroke [NPSS]) by assessing potential differences in somatosensory profile patterns and evaluating their potential as predictors of CPSP.
Methods: In a prospective longitudinal study on 75 acute stroke patients with somatosensory symptoms, we performed quantitative somatosensory testing (QST) in the acute/subacute phase (within 10 days) and on follow-up visits for 12 months. Based on previous QST studies, we hypothesized that QST values of cold detection threshold (CDT) and dynamic mechanical allodynia (DMA) would differ between CPSP and NPSS patients before the onset of pain.
Recent advances in understanding pathophysiology of nonnutritional stunting in very preterm infants.
Clin Exp Pediatr
December 2024
Department of Pediatrics and Neonatology, Hospital Privado Universitario de Córdoba., Córdoba., Argentina.
Very preterm infants (VPIs) often experience extrauterine growth failure. Therefore, aggressive nutritional management of VPIs is recommended with the goal of achieving the postnatal growth of an equivalent fetus. However, VPIs frequently present postnatal length growth restriction at term-corrected age that remains lower than the standard weight and have greater fat mass and lower lean and bone mass than term-born infants.
View Article and Find Full Text PDFAssociation of trabecular bone score corrected for tissue thickness with glucose metabolism in acromegaly.
Front Endocrinol (Lausanne)
December 2024
5th Department of Internal Medicine, Comenius University Faculty of Medicine, University Hospital Bratislava, Bratislava, Slovakia.
Introduction: Acromegaly is associated with increased vertebral fracture (VF) risk regardless of bone mineral density (BMD). However, the vertebral trabecular compartment is still low; a possible contributor to this may be impaired glucose metabolism (GM) which frequently complicates acromegaly. Additionally, soft tissue thickness may confound bone imaging in acromegaly patients.
View Article and Find Full Text PDFCombining Group Contribution Method and Semisupervised Learning to Build Machine Learning Models for Predicting Hydroxyl Radical Rate Constants of Water Contaminants.
Environ Sci Technol
December 2024
Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
Machine learning is an effective tool for predicting reaction rate constants for many organic compounds with the hydroxyl radical (HO). Previously reported models have achieved relatively good performance, but due to scarce data (<1400 records), the applicability domain (AD) has been significantly limited. To address this limitation, we curated a much larger experimental data set (Primary data set), which contains 2358 kinetic records.
View Article and Find Full Text PDFPredicting RNA Structure and Dynamics with Deep Learning and Solution Scattering.
Biophys J
December 2024
School of Computer Science and Engineering, The Hebrew University of Jerusalem, Israel. Electronic address:
Advanced deep learning and statistical methods can predict structural models for RNA molecules. However, RNAs are flexible, and it remains difficult to describe their macromolecular conformations in solutions where varying conditions can induce conformational changes. Small-angle X-ray scattering (SAXS) in solution is an efficient technique to validate structural predictions by comparing the experimental SAXS profile with those calculated from predicted structures.
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