Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis by Jithin Kalathikudiyil Sreedharan (18268894)

Cuckoo search for portfolio optimization. (c2014) by Medawar, Mohammad Kamal El

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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …”

Context-aware and model-driven approach for embedding and verifying security into composed web services. (c2013) by Tout, Hanine Ahmad

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A systematic literature review on contemporary and future trends in virtual machine scheduling techniques in cloud and multi-access computing by Nadim Rana (11424583)

“…</p><h3>Conclusion</h3><p dir="ltr">Although VM scheduling has progressed markedly, the focus remains predominantly on metaheuristic and heuristic approaches. …”

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 by Christopher J L Murray (13580635)

“…<p>Background Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. …”

Network-based identification and prioritization of key transcriptional factors of diabetic kidney disease by Ikhlak Ahmed (150200)

“…In this study, we performed a meta-analysis on the expression profiles of GSE1009, GSE30122, GSE96804, GSE99340, GSE104948, GSE104954, and GSE111154 to identify critical transcriptional factors associated with DN progression. …”

A review of mobile chatbot apps for anxiety and depression and their self-care features by Arfan Ahmed (17541309)

“…</p><h3>Methods </h3><p dir="ltr">A search was performed in the App Store and Google Play Store following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) protocol to identify existing chatbot apps for anxiety and depression. …”

Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk by Nick Shrine (220391)