A5024175357- Digital Imaging for Blood Diseases
- Chronic Lymphocytic Leukemia Research
- Platelet Disorders and Treatments
- Hematological disorders and diagnostics
- Hemoglobinopathies and Related Disorders
- Sexuality, Behavior, and Technology
- Sexual function and dysfunction studies
- Iron Metabolism and Disorders
- Atrial Fibrillation Management and Outcomes
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Myeloid Leukemia Treatments
- Artificial Intelligence in Healthcare and Education
- Aortic Disease and Treatment Approaches
- Neuroendocrine Tumor Research Advances
- Immunotherapy and Immune Responses
- Vascular Procedures and Complications
- Clinical Laboratory Practices and Quality Control
- Adipose Tissue and Metabolism
- Antiplatelet Therapy and Cardiovascular Diseases
- Blood properties and coagulation
- Intraperitoneal and Appendiceal Malignancies
- Diagnosis and treatment of tuberculosis
- Grey System Theory Applications
- Power Transformer Diagnostics and Insulation
- Cancer Risks and Factors
Qatar University
2023-2025
Abstract Vascular smooth muscle cells (VSMCs) play a critical role in regulating vasotone, and their phenotypic plasticity is key contributor to the pathogenesis of various vascular diseases. Two main VSMC phenotypes have been well described: contractile synthetic. Contractile VSMCs are typically found tunica media vessel wall, responsible for tone diameter. Synthetic VSMCs, on other hand, intima adventitia, involved repair remodeling. Switching between synthetic occurs response insults...
Acute lymphoblastic leukemia (ALL) poses a significant health challenge, particularly in pediatric cases, requiring precise and rapid diagnostic approaches. This comprehensive review explores the transformative capacity of deep learning (DL) enhancing ALL diagnosis classification, focusing on bone marrow image analysis. Examining ten studies conducted between 2013 2023 across various countries, including India, China, KSA, Mexico, synthesis underscores adaptability proficiency DL...
Myelodysplastic syndrome (MDS) is composed of diverse hematological malignancies caused by dysfunctional stem cells, leading to abnormal hematopoiesis and cytopenia. Approximately 30% MDS cases progress acute myeloid leukemia (AML), a more aggressive disease. Early detection crucial intervene before progresses AML. The current diagnostic process for involves analyzing peripheral blood smear (PBS), bone marrow sample (BMS), flow cytometry (FC) data, along with clinical patient information,...
Purpose: The relationship between subclinical hypothyroidism and type 2 diabetes mellitus (T2DM) in Qatar is under-studied, despite the high prevalence of region. This study evaluates potential association T2DM Qatar. Patients Methods: A cross-sectional used participants with without from Biobank (QBB). Logistic regression analysis was to assess T2DM, multivariable logistic adjust for confounders. Results: found that significantly associated a 2.82 increase odds having (OR=2.82, 95% CI...
Accurate electrical load forecasting is a difficult task due to the nonlinearity and high volatility of time series data. In this research, "decomposition ensemble" methodology used, which studies have shown be particularly effective in predicting loads. Complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) used conjunction transformer-neural networks (TRNNs), order accurately predict electricity consumption taking into account temperature. The proposed approach based...