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103 articles for “complications”
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Literature ReviewOpen accessIn the abstractMicroRNAs in Atherosclerosis: Key Players, Diagnostic Potential, and Therapeutic OpportunitiesAnastasia V Poznyak, Stanislav Anatolievich Antonov, Ulyana V. Rozhkova et al.Atherosclerosis is a significant contributor to cardiovascular diseases, often progressing silently over many years before clinical symptoms manifest. The multifaceted pathogenesis of atherosclerosis, involving processes such as endothelial dysfunction and inflammation, presents challenges in early diagnosis and effective treatment. MicroRNAs (miRNAs), a class of non-coding RNA molecules with post-transcriptional gene regulation abilities, have emerged as potential key players in atherosclerosis … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 25 Jul 2026 · 740 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Prediction of Diabetic Nephropathy-Associated Comorbidities and Their Key Genes by Analyzing RNA-Seq DataChaity Paul, Md. Ashiq Uddin, Rupa Dey et al.Diabetic Nephropathy (DN) is a complex health condition that leads to various kidney diseases. According to the World Health Organization, over 2 million deaths have been reported due to diabetes and diabetes related kidney diseases in 2021. And at the recent 78th World Health Assembly, chronic kidney disease was reported to be one of the most common diabetes-related complications, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 19 May 2026 · 1,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Analysis of Gestational Diabetes Risk Factors in a North African Population: A Call for Targeted Maternal Health InterventionsHafssa Abdellaoui, Nadia Ouzennou, Adnane Hakem, Samia RkhaGestational Diabetes (GD) is a multifactorial condition influenced by demographic, anthropometric and obstetric determinants. Identifying predictive factors is essential to anticipate the disorder, guide prevention strategies and reduce maternal and neonatal complications. To assess the risk factors associated with GDM in pregnant women in the Marrakech-Safi region, in order to fill a gap in national data. A retrospective cross-sectional study … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 10 May 2026 · 1,531 accessesView PDFCite
Case SeriesOpen accessIn the abstractSurge of Mucormycosis in the Jaws Among COVID-19 Patients: A Case Series Highlighting the Role of Diabetes and ImmunosuppressionRam Mohan, Dharnappa Poojary, Sreehari Sreedhar et al.Mucormycosis is a life-threatening fungal infection caused by Mucorales species, frequently occurring in immunocompromised patients. This case series investigates the alarming rise in maxillary mucormycosis among post-COVID-19 patients in India and explores its correlation with uncontrolled diabetes and immunosuppressive conditions. This case series analyzed 52 patients, primarily with maxillary infections, to identify the association between COVID-19 and mucormycosis. Diagnostic methods … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 13 Apr 2026 · 1,346 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Diabetes Risk Prediction Using Ensemble Boosting and SMOTE-Based Class BalancingKittipol Wisaeng, Pankom Sriboonlue, Benchalak MuangmeesriAccurate diabetes prediction is vital for early intervention, optimized resource allocation, and minimizing long-term complications. This study presents a comparative evaluation of traditional and advanced machine learning models for diabetes classification using a structured clinical dataset. Seven baseline algorithms were assessed against five advanced ensemble methods: CatBoost, LightGBM, XGBoost, Voting Ensemble, and Stacking Ensemble. To improve algorithm learning, the Synthetic … …Journal of Computer Science, Vol. 22, Issue 1 · 1 Feb 2026 · 1,976 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelease of Endogenous Chondroitin Sulfate and Heparin as Consequence of Dysregulated Proteolysis in COVID-19Marco RuggieroInfection by severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2), the pathogen responsible for COVID-19, is associated with immune-mediated responses that lead to dysregulated activation of proteolytic enzymes; these contribute to damage to the endothelium, thrombosis, hypercoagulability and other hematologic complications that include thrombotic thrombocytopenia, a complication of severe COVID-19 as well as a potentially fatal adverse effect of COVID-19 vaccination. … …American Journal of Immunology, Vol. 17, Issue 1 · 29 Dec 2021 · 7,688 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlutathione S-transferase (T1 & M1) Null Genotypes as Risk Determinants in Sudanese for Developing Type Two Diabetes MellitusGaafar Mahmoud, Hisham Mohamed Abdelrahim, Abed Al Salam Aljahmany, Eltayeb Mohamed Ahmed TayrabGlutathione S-transferases (GSTT1 and GSTM1) are globular proteins responsible for the detoxification of xenobiotics and the prevention of oxidative damage. Functional polymorphisms of the antioxidant glutathione and enzymes have a role in the pathogenicity of T2DM and its complications. The present study is aimed to assess association between GSTM1 and GSTT1 genetic polymorphisms with T2DM in Sudanese people. This case-control … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 16 Oct 2020 · 6,423 accessesView PDFCite