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Goal of the present study was to develop and build a phantom that replicates the air gaps under a gel bolus and to estimate the surface dose (D) under normal incidence with a 6 MV photon beam. For this, an acrylic phantom with 10 plates, each including five open slots (one in the centre and four off axis) with a size of 2 cm × 2 cm at depths of 0.54 cm, 0.

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Breast cancer (BC) is the most prevalent cancer in women globally. Anti-cancer advancements have enabled the killing of BC cells through various therapies; however, cancer relapse is still a major limitation and decreases patient survival and quality of life. Epithelial-to-mesenchymal transition (EMT) is responsible for tumor relapse in several cancers.

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Background: The clinical pictures of essential tremor (ET) and Parkinson's disease (PD) are often quite mimic at the early stage, and longstanding ET may ultimately develop to PD, that is, PD with "antecedent ET". Early diagnosis and differentiation of the two are essential for predicting disease progression and formulating individualized treatment plans. However, current approaches remain challenging.

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The clinical syndrome appears as a dysregulated host response to infection that results in life-threatening organ dysfunction known as Sepsis. Sepsis is a serious public health concern where for every five deaths in ICU there is one patient who dies with sepsis worldwide. Sepsis is featured as unbalanced inflammation and immunosuppression which is sustained and profound, increasing patient susceptibility to secondary infections and mortality.

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Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.

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