Publications by authors named "J Haron"

Article Synopsis
  • - The study aimed to investigate serum levels of soluble PD-L1 (sPD-L1) in breast cancer patients, specifically focusing on Asian (Malay) women, and its correlation with various clinical characteristics.
  • - Blood samples were collected from 92 malignant and 16 benign breast cancer patients, as well as 23 healthy controls, revealing that sPD-L1 levels were significantly higher in the cancer groups compared to healthy individuals.
  • - The findings indicated that sPD-L1 levels were linked to factors like age at menarche, ethnicity, birth control usage, and HER2 status, highlighting the need for further research on sPD-L1's role in breast cancer diagnosis and progression.
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Non-arteritic anterior ischemic optic neuropathy (NAION) is the most common cause of optic neuropathy in older adults and is usually associated with an altitudinal visual field defect. Binasal hemianopia is a rare visual field presentation, and most causes are due to ocular pathology instead of brain pathology. It is an infrequent finding in NAION.

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Breast cancer is the most prevalent cancer worldwide. Thus, it is necessary to improve the efficiency of the medical workflow of the disease. Therefore, this study aims to develop a supplementary diagnostic tool for radiologists using ensemble transfer learning and digital mammograms.

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Carcinosarcoma of the breast is a subtype of metaplastic breast carcinoma characterized by differentiation of the neoplastic epithelium toward mesenchymal-looking elements. It is a highly aggressive rare subtype of invasive breast neoplasm that exhibits a distinct histologic entity. Only a limited number of reports related to this type of disease have been reported.

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This study aims to determine the feasibility of machine learning (ML) and patient registration record to be utilised to develop an over-the-counter (OTC) screening model for breast cancer risk estimation. Data were retrospectively collected from women who came to the Hospital Universiti Sains Malaysia, Malaysia for breast-related problems. Eight ML models were used: k-nearest neighbour (kNN), elastic-net logistic regression, multivariate adaptive regression splines, artificial neural network, partial least square, random forest, support vector machine (SVM), and extreme gradient boosting.

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