J Res Med Sci
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The artificial intelligence field is obtaining ever-increasing interests for enhancing the accuracy of diagnosis and the quality of patient care. Deep learning neural network (DLNN) approach was considered in patients with brain stroke (BS) to predict and classify the outcome by the risk factors. ⋯ The best means for dropping the BS load is effective BS prevention. DLNN strategy showed a surprising presentation in the prediction of BS mortality based on the main risk factors with an excellent diagnostic accuracy. Moreover, the time interval after 10 years, age, the history of hyperlipoproteinemia, and education level are the most important predictors for BS.
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Acute lymphoblastic leukemia (ALL) is a malignancy with aggressive tumors of immature lymphocytes. T-cell immunoglobulin and mucin-domain 3 (TIM-3) is a Type I transmembrane glycoprotein which is involved in cell proliferation. The objective of this research is to determine the TIM-3 expression in peripheral blood (PB) and bone marrow (BM) of 80 samples of normal and ALL patients. ⋯ In conclusion, this study shows that TIM-3 increases in ALL patients, thus the expression of TIM-3 in tumor cells may be considered as a potential predictive factor in ALL patients, which needs to be explored in future.
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Intraductal papillary mucinous neoplasm of the biliary tract (B-IPMN) is an intraductal growing mucin producing tumor that is precursor of cholangiocarcinoma. Dilation of both upstream and downstream biliary ducts is the radiological key feature that is respectively caused by intraductal obstructive growth and massive mucin production. Although B-IPMN is rare, if the radiologist is familiar with its manifestation, can lead to early diagnosis when surgical resection can be curative. Here, we report a long standing pathologically proved case of B-IPMN with emphasis on radiological manifestation during a long time of 13 years across different imaging modalities.