• A large-scale genome-wide cross-trait analysis reveals shared genetic architecture between Alzheimer’s disease and gastrointestinal tract disorders

  Adewuyi, Emmanuel ; O’Brien, E.K.; Nyholt, D.R.; Porter, T.; Laws, S.M. (2022)

  Consistent with the concept of the gut-brain phenomenon, observational studies suggest a relationship between Alzheimer’s disease (AD) and gastrointestinal tract (GIT) disorders; however, their underlying mechanisms remain ...
• Medicines and vaccines supply chains challenges in Nigeria: a scoping review

  Olutuase, V.O.; Iwu-Jaja, C.J.; Akuoko, C.P.; Adewuyi, Emmanuel ; Khanal, V. (2022)

  Background: Medicines and vaccines supply chains represent critical systems for realising one of the major targets of the United Nations’ third Sustainable Development Goals (SDGs)—access to safe, effective, quality, and ...
• Relationship of Cognition and Alzheimer’s Disease with Gastrointestinal Tract Disorders: A Large-Scale Genetic Overlap and Mendelian Randomisation Analysis

  Adewuyi, Emmanuel ; O’Brien, E.K.; Porter, T.; Laws, S.M. (2022)

  Emerging observational evidence suggests links between cognitive impairment and a range of gastrointestinal tract (GIT) disorders; however, the mechanisms underlying their relationships remain unclear. Leveraging large-scale ...
• Antenatal care utilisation and receipt of its components in Nigeria: Assessing disparities between rural and urban areas—A nationwide population-based study

  Adewuyi, Emmanuel ; Auta, A.; Adewuyi, M.I.; Philip, A.A.; Olutuase, V.; Zhao, Yun ; Khanal, V. (2024)

  Introduction Antenatal care (ANC) is crucial for positive pregnancy outcomes, but it is underutilised in Nigeria, suggesting unmet needs, and potentially contributing to the country’s high burden of maternal and neonatal ...
• Investigating Genetic Overlap between Alzheimer’s Disease, Lipids, and Coronary Artery Disease: A Large-Scale Genome-Wide Cross Trait Analysis

  Kirby, A.; Porter, T.; Adewuyi, Emmanuel ; Laws, S.M. (2024)

  There is evidence to support a link between abnormal lipid metabolism and Alzheimer’s disease (AD) risk. Similarly, observational studies suggest a comorbid relationship between AD and coronary artery disease (CAD). ...
• Caesarean section and associated factors in Nigeria: assessing inequalities between rural and urban areas—insights from the Nigeria Demographic and Health Survey 2018

  Adewuyi, Emmanuel ; Akosile, W.; Olutuase, V.; Philip, A.A.; Olaleru, R.; Adewuyi, M.I.; Auta, A.; Khanal, V. (2024)

  Introduction: When medically indicated, caesarean section (CS) can be a life-saving intervention for mothers and their newborns. This study assesses the prevalence of CS and its associated factors, focussing on inequalities ...
• Genome-wide cross-disease analyses highlight causality and shared biological pathways of type 2 diabetes with gastrointestinal disorders

  Adewuyi, Emmanuel ; Porter, T.; O’Brien, E.K.; Olaniru, O.; Verdile, Giuseppe ; Laws, S.M. (2024)

  Studies suggest links between diabetes and gastrointestinal (GI) traits; however, their underlying biological mechanisms remain unclear. Here, we comprehensively assess the genetic relationship between type 2 diabetes ...
• Recent Advances in Flotation Froth Image Analysis

  Aldrich, Chris ; Avelar, Erica; Liu, Xiu (2022)

  Machine vision is widely used in the monitoring of froth flotation plants as a means to assist control operators on the plant. While these systems have a mature ability to analyse physical froth features, such as the ...
• Recognition of flotation froth conditions with k-shot learning and convolutional neural networks

  Liu, Xiu ; Aldrich, Chris (2023)

  In this study, previous work on k-shot learning in flotation froth image analysis using small sets of froth images, is extended. As before, image synthesis is used to augment these data sets, but in addition, fine-tuning ...
• Explaining anomalies in coal proximity and coal processing data with Shapley and tree-based models

  Liu, Xiu ; Aldrich, Chris (2022)

  Modelling the characteristics and composition of coal is important, as proximity data and other measurements to do so are typically expensive or hard to acquire in real-time. Understanding anomalies in these relatively ...

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