5 Result(s)
within
Majid Khazaei
Science, Humanities and Social Sciences, multidisciplinary
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Article
Open AccessBioinformatics analysis and machine learning approach applied to the identification of novel key genes involved in non-alcoholic fatty liver disease
Non-alcoholic fatty liver disease (NAFLD) comprises a range of chronic liver diseases that result from the accumulation of excess triglycerides in the liver, and which, in its early phases, is categorized NAFL...
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Article
Open AccessDown regulation of Cathepsin W is associated with poor prognosis in pancreatic cancer
Pancreatic ductal adenocarcinoma (PDAC) is associated with a very poor prognosis. Therefore, there has been a focus on identifying new biomarkers for its early diagnosis and the prediction of patient survival....
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Article
Open AccessTargeting transforming growth factor beta (TGF-β) using Pirfenidone, a potential repurposing therapeutic strategy in colorectal cancer
The modulating factors within the tumor microenvironment, for example, transforming growth factor beta (TGF-β), may limit the response to chemo and immunotherapy protocols in colorectal cancer (CRC). In the cu...
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Article
Open AccessMachine learning algorithms reveal potential miRNAs biomarkers in gastric cancer
Gastric cancer is the high mortality rate cancers globally, and the current survival rate is 30% even with the use of combination therapies. Recently, mounting evidence indicates the potential role of miRNAs i...
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Article
Open AccessMebendazole, an anti-helminth drug, suppresses inflammation, oxidative stress and injury in a mouse model of ulcerative colitis
Mebendazole (MBZ) is an efficacious anthelmintic with known anti-inflammatory and fibrinolytic properties. In this study, we aimed to explore the protective effects of this FDA-approved drug against DSS-induce...
