Publications by authors named "Hibba Yousef"

Brain tumors are associated with impaired cognitive functioning, which may result from disruptions in brain structural connectivity. Estimating structural disconnections is a more advantageous representation of tumor impact and can be performed indirectly through normative brain atlases. Using a publicly available dataset of glioma and meningioma patient MRI scans and tumor masks, latent correlations were estimated between measures of structural disconnection and attention-based cognitive functioning.

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Article Synopsis
  • Multiple sclerosis (MS) is a complex neurological disorder with no cure, and disease-modifying therapies are the only treatment available, but they come with risks and side effects.
  • MRI is crucial for diagnosing and managing MS, but there's a disconnect between MRI findings and clinical outcomes, known as the clinico-radiological paradox.
  • Machine learning techniques can enhance the predictive ability of MRI for MS progression by analyzing complex neuroimaging data, and combining these imaging biomarkers with other patient data could lead to more personalized treatment strategies.
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Type II diabetes mellitus (T2DM) is a rising global health burden due to its rapidly increasing prevalence worldwide, and can result in serious complications. Therefore, it is of utmost importance to identify individuals at risk as early as possible to avoid long-term T2DM complications. In this study, we developed an interpretable machine learning model leveraging baseline levels of biomarkers of oxidative stress (OS), inflammation, and mitochondrial dysfunction (MD) for identifying individuals at risk of developing T2DM.

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Introduction: Type II diabetes mellitus (T2DM) is a metabolic disorder that poses a serious health concern worldwide due to its rising prevalence. Hypertension (HT) is a frequent comorbidity of T2DM, with the co-occurrence of both conditions increasing the risk of diabetes-associated complications. Inflammation and oxidative stress (OS) have been identified as leading factors in the development and progression of both T2DM and HT.

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Thrombin plays a central role in hemostasis and its imbalances in coagulation can lead to various pathologies. It is of clinical significance to develop a fast and accurate method for the quantitative detection of thrombin. Electrochemical aptasensors have the capability of combining the specific selectivity from aptamers with the extraordinary sensitivity from electrochemical techniques and thus have attracted considerable attention for the trace-level detection of thrombin.

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Aim: Musculoskeletal pain (MSP) is a highly prevalent and debilitating disorder among dentists, often leading to early retirement. Poor ergonomics in the dental practice not only causes MSP, but can also lead to postural deviations as a result of an imbalance in muscle function. The aim of this study was to observe the relationship between MSP and vertebral deviations among male dentists in the United Arab Emirates (UAE).

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