Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network by Khadija Manzoor (22565369)

“…For SLICE-3D, we evaluated both tabular-only and image + metadata fusion approaches using XGBoost classifier and ResNet-based classifier, respectively.…”

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming by Shah Nazir (14779162)

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience by Marwan Abdellah (4435360)

Simultaneous Multi-Adulterant Detection in Milk Using an In-house Developed Multiplexed Microfluidic Paper-Based Analytical Device (M-µPAD) by Jannat Ahsan (22466530)

“…<p dir="ltr">Milk adulteration poses a significant challenge in developing countries, impacting food safety and public health. …”

A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

“…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. …”

Application of TiO₂-loaded fly ash-based geopolymer in adsorption of methylene blue from water: Waste-to-value approach by Johaina Alahmad (19205965)

“…Scanning electron microscopy images exhibited a porous morphology. Furthermore,<u> transmission electron microscopy</u> images revealed a nanostructured shape, with <u>nanoparticles</u> clumping together to form small channels suitable for MB adsorption. …”

Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

Get full text

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum (16875936)

“…<p dir="ltr">Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service requirements (such as low latency). …”

Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study by Thomas Farrell (3933833)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>…”

Fixing a heart valve by Nature Research (16552612)

“…All of these factors significantly increase the rate of complications following valve replacement, so valve repair is a more viable option in these parts of the world. …”

Improving the performance of a commercial absorption cooling system by using ejector: A theoretical study by Hamza K. Mukhtar (17821004)

“…An improvement of 70.6% in the COP was obtained at the design condition. A parametric analysis was implemented to study the significance of the key parameters in the RACS performance. …”

A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

“…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”

When Should a Brain MRI Be Performed in Children with New-Onset Seizures? Results of a Large Prospective Trial by Hourani, R.

“…Univariate analysis showed a significant increase in the frequency of epileptogenic lesions with decreasing age, the presence of developmental delay, and the number and types of seizures at presentation. …”
Get full text
Get full text
Get full text
Get full text

Prehospital plasma transfusion versus standard of care following traumatic injury: a review of the systematic reviews and a meta-analysis by Ayman El-Menyar (440103)

“…PHP did not significantly decrease vasopressor use or late mortality; however, it may reduce the total use of RBCs in the first 24 h. …”

Impact of the fear of Covid-19 infection on intent to breastfeed; a cross sectional survey of a perinatal population in Qatar by Shuja Mohd Reagu (12051406)

“…</p><h3>Conclusions</h3><p dir="ltr">The rates of Obsessive–compulsive symptoms were increased and the rates of intent to breastfeed were decreased when compared with pre pandemic rates. The obsessive–compulsive symptoms and the intent to not breastfeed were significantly associated with fear of infection to the new-born. …”

Targeting the MAP kinase pathway in astrocytoma cells using a recombinant anthrax lethal toxin as a way to inhibit cell motility and invasion by Al-Dimassi, Saleh

“…However, astrocytoma cells that were treated with LeTx showed a significant decrease in cell motility as seen by wound healing as well as random 2D motility in serum. …”
Get full text
Get full text
Get full text
Get full text

Feasibility of a group-based laughter yoga therapy on anxiety and happiness among community-dwelling older adults: A quasi-experimental study by Mona Metwally El-Sayed (17725127)

“…</p><p><br></p><h3>Results</h3><p dir="ltr">A statistically significant decrease in anxiety level among the study group compared to the control group (Pre = 16.68 (7.35), immediate = 6.65 (2.89), post three-month = 7.68 (2.75), p=<0.001 and effect size = 0.715). …”

The promise of tirzepatide: A narrative review of metabolic benefits by Sara Sokary (17337724)

“…Tirzepatide administration for 72 weeks elicited significant weight reduction ranging from 5 % to 20.9 % across different trials in a dose-dependent manner. …”

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

“…While conventional manual techniques are time-consuming and prone to errors, advanced deep learning models have shown promising results in medical image segmentation. Recently, several complex architectures, such as vision Transformers and attention-based convolutional neural networks (CNNs), have been introduced for this task. …”