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Magnetic Resonance Spectroscopy (MRS) transforming multiple sclerosis (MS) diagnosis
Published 2025-03-01“…Traditional Magnetic Resonance Imaging scans every six months reveal brain lesions but can't predict how the disease will progress [2]. …”
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Brain lesion MRI and co-related MRS spectroscopy datasetMendeley Data
Published 2025-04-01“…T2-FLAIR and contrast-enhanced T1 MRI modalities reveal structural differences in lesions, whereas MRS affords metabolite information. In addition to the imaging data, patient metadata such as age, gender, and expert diagnosis- classify brain lesions into two types: neoplastic (low or high grade) and non-neoplastic. …”
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Genome-wide identification of MGT gene family in soybean (Glycine max) and their expression analyses under magnesium stress conditions
Published 2025-01-01Subjects: Get full text
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Genetic and biochemical characterization of staphylococci occurring in Novosibirsk, Russia
Published 2018-01-01Subjects: Get full text
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Proton magnetic resonance spectroscopy-based evaluation of metabolic abnormalities in the right dorsolateral prefrontal cortex and caudate nucleus in treatment-naïve patients with...
Published 2023-11-01Subjects: “…3t mrs…”
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A hybrid setup for rodent hyperpolarized metabolic imaging using a clinical magnetic resonance scanner
Published 2025-03-01Subjects: Get full text
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Association of C-Reactive Protein with Short-Term Outcomes in Spontaneous Intracerebral Hemorrhage Patients with or without Infection: From a Large-Scale Nationwide Longitudinal Re...
Published 2025-01-01“…Yang Du,1,2 Lijun Liu,1,2 Kaijiang Kang,1,2 Yijun Lin,1,2 Hongqiu Gu,1,2 Liheng Bian,1,2 Zixiao Li,1,2 Xingquan Zhao1– 4 1Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People’s Republic of China; 2China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, People’s Republic of China; 3Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China; 4Center of Stroke, Beijing Institute for Brain Disorders, Beijing, People’s Republic of ChinaCorrespondence: Xingquan Zhao; Zixiao Li, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, 119 West Road, South 4th Ring, Fengtai District, Beijing, People’s Republic of China, 100070, Tel +86-10-59975835, Email lizixiao2008@hotmail.com; zxq@vip.163.comAim: To study the relationship between elevated C-reactive protein (CRP) levels, infection, and spontaneous intracerebral hemorrhage (ICH) outcomes.Methods: Patients were classified into four groups (Q1–Q4). …”
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Análisis del proceso de comunicación en un proceso de mediación de conflictos con una pareja de separados, basado en la teoría de la acción comunicativa de Habermas y el modelo rel...
Published 2010-01-01“…Los instrumentos utilizados para la recolección de la información se diseñaron con base en el MRS y la pragmática formal del lenguaje de Jurgen Habermas. …”
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Phase II randomised, double-blind, placebo-controlled trial to assess the efficacy and safety of MLC1501 in patients with stroke: the MLC1501 study Assessing Efficacy in post-STrOk...
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The Comparison of Cost-Effectiveness Between Magnetic Resonance Spectroscopy and Provocative Discography in the Identification of Chronic Low Back Pain Surgery Candidates
Published 2025-01-01“…MRS provides significant cost savings and leads to better surgical outcomes, making it a preferred choice for insurers and health systems.Plain Language Summary: Chronic low back pain (cLBP) is experienced by 20% of the US population. …”
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How does the medicines retail sector ensure continued access to medicines during public health emergencies? Lessons from the COVID-19 pandemic in Uganda
Published 2025-12-01“…Background The medicines retail sector (MRS) enables access to life-saving health commodities. …”
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Fibrolytic efficiency of the large intestine microbiota may benefit running speed in French trotters: A pilot study
Published 2024-11-01“…MRS was positively correlated with the efficiency of the fecal microbiota in degrading cellulose in vitro (r = 0.51; p = 0.02). …”
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How Reliable Is Endoscopic Scoring of Postoperative Recurrence in Crohn Disease?: A Systematic Review and Meta-Analysis
Published 2024-03-01“…Guidelines advise to perform endoscopic surveillance following ileocolic resection (ICR) in Crohn disease (CD) for timely diagnosis of recurrence. This study aims to assess the variation in endoscopic recurrence (ER) rates in patients after ICR for CD using the most commonly used classification systems, the Rutgeerts score (RS) and modified Rutgeerts score (mRS) classifications. …”
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Testing convolutional neural network based deep learning systems: a statistical metamorphic approach
Published 2025-01-01“…The empirical results show that our proposed approach uncovers 85.71% of the implementation faults in the classifiers under test (CUT). Furthermore, we also propose an MRs minimization algorithm for the CUT, thus saving computational costs and organizational testing resources.…”
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Urinary Incontinence in Men with Stroke: A Cross-Sectional Study
Published 2025-01-01“…Similarly, the UDI-6 was significantly associated with the MRS, BI, EQ-5D-3L Index, and EQ-5D-3L VAS scores in a multiple hierarchical regression model (R<sup>2</sup> = 0.423, <i>p</i> < 0.001). …”
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The e-STROKE Study: The Design of a Prospective Observational Multicentral Study
Published 2025-01-01“…<b>Aims:</b> The primary aim is to determine the predictive value of CT parameters (e-ASPECTS, CTP, collateral vessel status, and ischemic lesion volume and location) on three-month functional outcomes, as defined by the mRS, in patients with non-lacunar stroke following recanalization treatment (IVT and/or MT). …”
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Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images
Published 2025-01-01“…This study aims to improve model interpretability by comparing four interpretability techniques, which are Layer-wise Relevance Propagation (LRP), Adversarial Training, Class Activation Maps (CAMs), and the Spatial Attention Mechanism, and determining which fits best the model, enhancing its transparency with minimal impact on its performance. …”
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