Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

Fourier Transform Infrared Imaging—A Novel Approach to Monitor Bio Molecular Changes in Subacute Mild Traumatic Brain Injury by Fazle Rakib (5768069)

“…Significant decrease in methyl content and a significant increase in olefinic content were observed in Co and CC regions of mTBI rat brain tissues. …”

Epidemiology of extended-spectrum beta-lactamase producing Enterobacteriaceae in Qatar: A 3-year hospital-based study by Musaed Alsamawi (14778031)

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

Willingness to participate in genome testing: a survey of public attitudes from Qatar by Hanan F. Abdul Rahim (9330201)

“…The success of a national population-based genome program, like the Qatar Genome Program (QGP), depends on the willingness of citizens to donate samples and take up genomic testing services. …”

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

Nutritional Status and Clinical Outcomes of Children with Medical Complexity in the United Arab Emirates: A Retrospective Cross-Sectional Study by Al Slaybe, Maryam

“…According to the CIAF, 75.1% exhibited at least one form of anthropometric failure, while 54.9% presented with multiple concurrent forms. No significant differences in WAZ, LAZ, or WLZ scores were observed based on sex or nationality. …”
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The Clinical Impact of Immediate On-Site Cytopathology Evaluation During Endoscopic Ultrasound-Guided Fine Needle Aspiration of Pancreatic Masses by Azar, Riad R.

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Prevalence and Clinical Relevance of Incidental CT Findings in Pediatric Trauma: A Systematic Review and Meta-Analysis of 23706 Patients by Amani N. Alansari (19743643)

“…Incidental findings were categorized as: category 1 (clinically significant requiring urgent follow-up), category 2 (indeterminate, requiring context-based evaluation), and category 3 (benign variants requiring no follow-up). …”

Whole Slide Imaging Integration with Lab Information Systems, a Study of the Requirements, Processes and Procedures Enabling a Reporting-Based Workflow by Fouad S Alchami (17991334)

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”

Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images by Hassaan Malik (10486121)

Pregnancy-related issues in women with multiple sclerosis: an evidence-based review with practical recommendations by Beatriz Canibaño (18102676)

Bridging Classrooms and Communities: The Transformative Impact of Community‐Based Dental Education on the Learning Experiences of Undergraduate Students by Kamran Ali (8861576)

Does problem‐based learning facilitate enactment of learner agency in undergraduate dental curricula? A Q study by Kamran Ali (8861576)

Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease by Fathima Lamya (22565261)

Interleukin-35 and Thymoquinone nanoparticle-based intervention for liver protection against paracetamol-induced liver injury in rats by Maisa Siddiq Abduh (16381125)

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…Given the high prevalence of diabetes and the limitations of existing diagnostic methods in clinical setup, this study proposes an innovative solution. …”

Dynamic Change in Insulin Resistance Induced by Free Fatty Acids Is Unchanged Though Insulin Sensitivity Improves Following Endurance Exercise in PCOS by Myint Myint Aye (6404327)

Performance Evaluation of a New Fluorescent-Based Lateral Flow Immunoassay for Quantification of Hemoglobin A1c (HBA1c) in Diabetic Patients by Nadin Younes (4863280)