Microstructural asymmetry index (AI) as a function of age. by Junyu Guo (316439)

Age vs trust in AI for medical treatment. by Abdullah A. Alasmari (22566815)

“…<div><p>As artificial intelligence (AI) systems become increasingly integrated into decision-making across various sectors, understanding public trust in these systems is more crucial than ever. …”

Data_Sheet_1_Higher remnant cholesterol is associated with an increased risk of amnestic mild cognitive impairment: a community-based cross-sectional study.docx by Yating Ai (17331337)

Reality Drift: Navigating Culture, Cognition, and Policy in the AI Age by Dr. Samuel Wellington (22445725)

“…The framework builds on and extends earlier theories of hyperreality, surveillance capitalism, and cognitive offloading, providing policymakers, educators, and designers with actionable insights. Increasingly cited in think tank briefings and academic discourse, <i>Reality Drift</i> highlights systemic distortion, recursive feedback loops, and the erosion of shared meaning—making it a critical tool for governance in the AI age.…”

Comparison of injury pattern (AIS≥1) between ≥ 65 years and 16–64 years patients over the years. by Axel Benhamed (12511645)

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Comparison of severe (AIS≥3) injury pattern between ≥ 65 years and 16–64 years patients over the years. by Axel Benhamed (12511645)

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Change in AIS from admission to discharge—stacked bar graph with AIS at admission on the x-axis. by Chibuikem Anthony Ikwuegbuenyi (19173265)

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Data_Sheet_1_The Racial Disparities in the Epidemic of Metabolic Syndrome With Increased Age: A Study From 28,049 Chinese and American Adults.docx by Ruiying Zhang (3569693)

“…</p>Results<p>The prevalence of MetS increased non-linearly with age, with growth speed reaching its maximum at approximately 40–50 years. …”

Flow charts showing the performance for all the relevant pathologies (a) in all age groups, (b) 7–14 years, and (c) 2–6 years. by Prerana Agarwal (21781515)

AUC for the Selected Age Range. by Hung-Lung Tsai (22189958)

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Morphological alternations are not unique to APP^NL-F mice at 24 months age. by Katalin E. Sos (8910092)

<b>CABS Public Seminar Series 2023-24:</b><b>What is Artificial intelligence (AI) and what does it mean for older adults?</b> by Elena Moschini (18189794)

“…As AI is increasingly used in care environments, with promises of addressing systemic issues such as alleviating loneliness among residents, it is critical to consider its potential role in enhancing age-related bias and social inequalities in later life.   …”

Data_Sheet_1_NLRP3 Inflammasome-Dependent Increases in High Mobility Group Box 1 Involved in the Cognitive Dysfunction Caused by Tau-Overexpression.docx by Yan Zhao (58882)

Lack of hepcidin leads to progressive increases in serum nonheme iron and TSAT in male and female rats. by Shireen R. L. Flores (10994396)

STH positivity according to village and age groups. by Mian Zi Tee (13243226)

Datasheet1_Association between deep neural network-derived electrocardiographic-age and incident stroke.docx by Robert Leung (18930499)

“…Accelerated aging was associated with a 42% increase in incident stroke [HR, 1.42 (95% CI, 1.12–1.80)] compared to normal aging. …”

AUC for the Selected Age and BMI Ranges. by Hung-Lung Tsai (22189958)

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AUC for the Selected Age and T-score Ranges. by Hung-Lung Tsai (22189958)

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Distribution of CAC score by age and sex. by Federica Sabia (9639700)

Ovarian disorders in aged <i>inhbaa</i>-/- mutant. by Cheng Zhao (2535307)