Gillian Devereux

A Machine Learning Approach to Predict Cognitive Decline in Alzheimer Disease Clinical Trials

Bhargav Teja Nallapu, Kellen K. Petersen, Tianchen Qian, İdris Demirsoy et autres

BACKGROUND AND OBJECTIVES: Among the participants of Alzheimer disease (AD) treatment trials, 40% do not show cognitive decline over 80 weeks of follow-up. Identifying and excluding these individuals can increase power to detect treatment effects. We aimed to develop machine learning-based predictive …

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Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Chenzhong Yin, Phoebe E. Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari et autres

Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since birth. Thus, it conveys poorly recent or contemporaneous …

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Learning-based inference of longitudinal image changes: Applications in embryo development, wound healing, and aging brain

Heejong Kim, Batuhan K. Karaman, Qingyu Zhao, Alan Q. Wang et autres

Longitudinal imaging data are routinely acquired for health studies and patient monitoring. A central goal in longitudinal studies is tracking relevant change over time. Traditional methods remove nuisance variation with custom pipelines to focus on significant changes. In this work, we present …

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Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment

Marvin Petersen, Mirthe Coenen, Charles DeCarli, Alberto De Luca et autres

White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH …

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Towards cascading genetic risk in Alzheimer’s disease

André Altmann, Leon Aksman, Neil P. Oxtoby, Alexandra L. Young et autres

Alzheimer's disease typically progresses in stages, which have been defined by the presence of disease-specific biomarkers: amyloid (A), tau (T) and neurodegeneration (N). This progression of biomarkers has been condensed into the ATN framework, in which each of the biomarkers can be …

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WS12-6 Evaluating appropriate PROMs in CARE-CF-1 trial: Lynovex® (cysteamine) an oral adjunct to SOC interventions in cystic fibrosis infectious exacebations

Gillian Devereux, S. Bourke, Cori L. Daines, Samfee Doe et autres

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Use of 'Low-Dose' Theophylline to Reduce Exacerbations of COPD: A Pragmatic Multicentre Randomised Placebo Controlled Trial

David Price, Seonaidh C. Cotton, Shona Fielding, Nicola McMeekin et autres

No abstract available.

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79 Excessive reactive oxygen species production by cystic fibrosis phagocytes against Aspergillus fumigatus is adversely associated with number of clinical exacerbations and lung function

Shan F. Brunel, Janet A. Willment, Gordon D. Brown, Gillian Devereux et autres

Giving Voice to Students: A Rhetorical Analysis of the Frameworks

Rosalind Bucy, Gillian Devereux, Maric Kramer, Jenne Powers

In this chapter, we focus on the usage and frequency of terms related to the idea of student voice in our rhetorical analysis of three primary documents: The Framework for Success in Postsecondary Writing from the Council of Writing Program Administrators, National …

Maternal vitamin D and E intakes during early pregnancy are associated with airway epithelial cell responses in neonates

David Miller, Steve Turner, Daniella Spiteri-Cornish, Alison Scaife et autres

BACKGROUND: Antenatal factors including maternal diet may predispose to airway disease, possibly by impacting on fetal airway development. OBJECTIVE: This cohort study tested the hypothesis that maternal vitamin D and E status in early pregnancy is associated with airway epithelial cell (AEC) …

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46 Ex vivo efficacy of Lynovex®, a next generation tri-functional candidate cystic fibrosis therapy

Derry K. Mercer, Céline Charrier, James Robertson, Anna Paulina Kowalczuk et autres

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Factors Influencing Self-Perception of Recovery from Stroke in Comparison to Objective Assessments (P1.137)

T. Keta Hodgson, Randy Sanoff, Gillian Devereux, Star Feudi et autres

OBJECTIVE To determine factors accounting for an observed mismatch between stroke patients’ objective and subjective assessments. BACKGROUND: Often there are discrepancies between a stroke survivor’s perception of recovery and results of objective scales used in clinical research, e.g., the modified Rankin scale …

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