AI-driven wearable sensors for postoperative monitoring in surgical patients: A systematic review by Muhammad Mohsin Khan (22150360)

“…These methodologies showed decreases in the rates of admission, including the staying duration in Intensive Care Units regarding support via using the AI-built Continuous Remote Early Warning Scoring system. …”

Fanconi–Bickel Syndrome: A Review of the Mechanisms That Lead to Dysglycaemia by Sanaa Sharari (12561952)

Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification by Saidul Kabir (15302407)

“…This study aimed to automate and increase accuracy of PUV detection in voiding cystourethrography (VCUG) images using an AI-based pipeline. The main objective was to detect presence of PUV based on urethral ratio calculated automatically from segmented urethra region. …”

There Is Selective Increase in Pro-thrombotic Circulating Extracellular Vesicles in Acute Ischemic Stroke and Transient Ischemic Attack: A Study of Patients From the Middle East an... by Abdelali Agouni (181926)

“…Compared to controls, there was also an increase in EVs derived from activated endothelial cells, platelets, granulocytes, leukocytes, and pro-coagulant EVs (Annexin V⁺) at 5 and 30-days following the acute events, while a decrease was observed in erythrocyte-derived EVs. This is the first study characterizing EVs in TIA and AIS patients from ME and SE showing an increase in EVs associated with endothelial and platelet cell activation, which may contribute to the elevated risk of stroke at a younger age in this population.…”

Celsr3 is required for Purkinje cell maturation and regulates cerebellar postsynaptic plasticity by Qinji Zhou (18513741)

“…Wnt5a perfusion enhances LTP formation, which could be occluded by cAMP agonist and diminished by cAMP antagonist in control, but not in Celsr3 cKO or Fzd3 cKO cerebellar slices. …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…Since the success of AI is to be measured ultimately in terms of how it benefits human beings, and that the data driving the deep learning-based edge AI algorithms are intricately and intimately tied to humans, it is important to look at these AI technologies through a human-centric lens. …”

Impaired histone deacetylases 5 and 6 expression mimics the effects of obesity and hypoxia on adipocyte function by Julien Bricambert (19738237)

“…Similarly, hypoxia hampered total Hdac activity and reduced the expression of <i>Hdac5</i> and <i>Hdac6</i> in 3T3-L1 adipocytes. The decrease of both <i>Hdac5</i> and <i>Hdac6</i> by hypoxia was associated with altered expression of adipokines and of the inducible cAMP early repressor (Icer), a key repressor that is defective in human and mice obesity. …”

Fermentation-induced modifications to the structural, surface, and functional properties of quinoa proteins by Mohammad Alrosan (20089263)

Synthetic Cannabinoid AB-FUBINACA Negatively Impacted the Male Fertility and Induced Testicular Toxicity by Ayman Alzu’bi (13162392)

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

“…Furthermore, we have utilized seven Explainable AI methodologies: Vanilla Gradients (VG), Guided Backpropagation (GBP ), Integrated Gradients ( IG), Guided Integrated Gradients (GIG), SmoothGrad, Gradient-weighted Class Activation Mapping (GCAM), and Guided Grad-CAM (GGCAM) for interpretability examination, aiding in the advancement of dependable and credible automation of healthcare detection of glaucoma.…”

Hypoxic Stress Induces Complement-Mediated Lysis of Mesenchymal Stem Cells by Downregulating Factor H and CD59 by Ramada R. Khaswaneh (22224544)

Relationship between Asymmetry Indices, Anthropometric Parameters, and Physical Fitness in Obese and Non-Obese High School Students by Monoem Haddad (5345357)

“…In the second regression analysis, controlling for age, body mass, and BMI, the regression coefficients associated with height (B = −1.692, 95% CI [−3.115, −0.269], p < 0.05] and body fat percentage (B = 0.529, 95% CI [0.075, 0.983], p < 0.05) indicated that with each additional unit of height or body fat percentage, the CMJ AI decreased by 1.692 units and increased by 0.529 units. …”

The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017 by Arash Etemadi (330880)

Inhibiting HSP90 changes the expression pattern of PINK1 and BNIP3 and induces oxidative stress in colon cancer cells by Ejlal Abu-El-Rub (5168183)

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... by Parkes J Kendrick (9714851)

Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017 by Joan B Soriano (6458528)

Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050 by Yingzhao, Jin

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Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Joseph L Ward (9715619)

Trends in prevalence of blindness and distance and near vision impairment over 30 years: an analysis for the Global Burden of Disease Study by Rupert Bourne (603842)

Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Stud... by Robert C Reiner (5147636)