Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges by Haseeb Javed (18576340)

“…Dynamic ensemble techniques, which leverage multiple predictive models to improve outcome accuracy, offer significant promise in addressing the complexities of patient data and disease manifestations. …”

Shrinking the battlefield in cancer therapy: Nanotechnology against cancer stem cells by Queenie, Fernandes

“…Cancer remains one of the leading causes of mortality worldwide, presenting a significant healthcare challenge owing to the limited efficacy of current treatments. …”
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The Impact of Diabetes Educational Interventions on Nurses’ Knowledge of In-Patient Diabetes Management in Hospitals in Abu Dhabi & Dubai by ALISHAQ, ZEINAB DAHIR AWAD

“…Programs for patients and nurses DM awareness were found compulsory in the UAE to increase their level of understanding, management, and compliance to enable them to avoid disease complications. The study determined that nurses’ knowledge of diabetes management improved after attending these training sessions. …”
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First Case Report of Fulminant Hepatitis After Laparoscopic Sleeve Gastrectomy Associated with Concomitant Maximal Therapeutic Dose of Acetaminophen Use, Protein Calorie Malnutriti... by Alyaa Abusabeib (14151852)

“…Treatment with N-acetylcysteine, and replacement of deficient multivitamins and trace elements resulted in significant improvement in liver functions.</p><h2>Other Information</h2> <p> Published in: Obesity Surgery<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1007/s11695-020-04999-y" target="_blank">http://dx.doi.org/10.1007/s11695-020-04999-y</a></p>…”

The use of household budget surveys to estimate the availability of fruits and vegetables for consumption in Swiss households after deduction of food waste by Bouclaous, Carmel

“…Background The consumption of 400-600 grams per day of fruits and vegetables has been linked to reduced risk of cardiovascular disease, and lower incidence of cancers and chronic diseases. …”
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Shrinking the battlefield in cancer therapy: Nanotechnology against cancer stem cells by Queenie Fernandes (14557388)

“…<p>Cancer remains one of the leading causes of mortality worldwide, presenting a significant healthcare challenge owing to the limited efficacy of current treatments. …”

Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011) by Abdallah, Raymond

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Identification of Candida albicans from clinical specimens obtained from Lebanese hospitals by fluorescence resonance energy transfer and probe melting curves. (c2005) by Yazbeck, Soha N.

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Adherence to international guidelines for the treatment of uncomplicated urinary tract infections in Lebanon by Kabbara, Wissam K.

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Natural products as chemo-radiation therapy sensitizers in cancers by Sabah Nisar (12561961)

“…<p dir="ltr">Cancer is a devastating disease and is the second leading cause of death worldwide. …”

Loss of FOXA2 induces ER stress and hepatic steatosis and alters developmental gene expression in human iPSC-derived hepatocytes by Maryam Aghadi (17128819)

“…Overexpression of FOXA2 reversed the defective phenotypes and improved hepatocyte functionality in iPSC-derived hepatic cells lacking FOXA2. …”

Does colchicine reduce mortality in patients with COVID-19 clinical syndrome? An umbrella review of published meta-analyses by Mohammed I., Danjuma

“…BackgroundDespite significant improvements in both treatment and prevention strategies, as well as multiple commissioned reviews, there remains uncertainty regarding the survival benefit of repurposed drugs such as colchicine in patients with Coronavirus Disease 2019 (COVID-19) clinical syndrome. …”
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An unusual case of pneumocephalus after cardiac arrest in Qatar ICU facility by Phool Iqbal (12217770)

“…She did not have any other significant bleeding. She was kept under ICU for monitoring as per the neurosurgery plan. …”

Measuring the Attitude of Mainstream Educators towards having students with ADHD in their Classrooms in a private school in Dubai- A Case Study. by ABDULLAH, MARYAM

“…Similar school systems and authorities to improve their inclusive education practices for ADHD children can use these findings. …”
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Natalizumab Treatment for Relapsing Multiple Sclerosis Stabilises Normal-Appearing White Matter Microstructure: A One-Year Prospective Ultra-High-Field Quantitative Imaging Study by Radu Tanasescu (439168)

“…The difference in the T1 relaxation times at month 6 and month 12 of natalizumab treatment was not significant, suggesting the lack of accumulation of tissue damage, while improvements were seen in MTR (MTRAPT and MTRNOE measures) at month 12, suggesting a tissue repair effect. …”

Health-related quality of life as a predictor of tuberculosis treatment outcomes in Iraq by Dujaili, Juman Abdulelah

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Pioglitazone Effect on Clinical Outcome and Inflammatory Response in patients with type 2 diabetes mellitus and COVID-19: A Randomized Clinical Trial by Eman Elmekaty (14777932)

“…It was hypothesized that Pioglitazone - a medicine used to treat diabetes with proven anti-inflammatory properties – may improve COVID-19 outcomes in patients with diabetes. …”

Hydroxyurea Use in Lebanese Patients With [beta]-Thalassemia Intermedia by Taher, Ali

“…All other patients did not respond to HU. No significant toxicity was reported in our patients. Graphic Table 1 These findings are in contrast to the findings of Karimi et al. …”
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Qatar Healthcare Workers' COVID-19 Vaccine Hesitancy and Attitudes: A National Cross-Sectional Survey by Rajeev Kumar (195329)

“…Safety and efficacy concerns of vaccine were the significant predictors of vaccine hesitancy. The primary predictor for vaccine acceptance was a better understanding of the disease and vaccine.…”

Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review by Sarah Aqel (17787809)

“…Deep learning is gaining prominence in radiomics and population health for disease risk prediction. There’s a significant focus on the integration of AI and ML in prehospital emergency care, particularly in using ML algorithms for predicting outcomes in COVID-19 patients and enhancing the recognition of out-of-hospital cardiac arrest (OHCA). …”