AIMC Topic: UK Biobank
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Deep neural network-estimated age using optical coherence tomography predicts mortality.
GeroScience
Sep 21, 2023
The concept of biological age has emerged as a measurement that reflects physiological and functional decline with ageing. Here we aimed to develop a deep neural network (DNN) model that predicts biological age from optical coherence tomography (OCT)...
Nonlinear Associations of Accelerometer-Based Sedentary Time With Cognitive Functions in the UK Biobank.
The journals of gerontology. Series B, Psychological sciences and social sciences
Jun 10, 2025
OBJECTIVES: Device-based sedentary time shows a nonlinear association with incident dementia among older adults. However, associations between sedentary time and cognitive performance have been inconsistent. We examined potential nonlinear associatio...
Brain Aging in Patients With Cardiovascular Disease From the UK Biobank.
Human brain mapping
Jun 1, 2025
The brain undergoes complex but normal structural changes during the aging process in healthy adults, whereas deviations from the normal aging patterns of the brain can be indicative of various conditions as well as an increased risk for the developm...
Processing UK Biobank High Resolution Accelerometry Data for Unsupervised Identification of Activity Profiles and Their Differences in Clinically Relevant Outcome Parameters - The ATLAS Index Revisited.
Studies in health technology and informatics
May 15, 2025
Accelerometer data obtained with wearable devices over extended periods of time provides objective, valuable information on activity behavior. Building on previous work to derive easy-to-interpret activity parameters - the Activity Types from Long-te...
Do positive psychosocial factors contribute to the prediction of coronary artery disease? A UK Biobank-based machine learning approach.
European journal of preventive cardiology
Apr 22, 2025
AIMS: Most prediction models for coronary artery disease (CAD) compile biomedical and behavioural risk factors using linear multivariate models. This study explores the potential of integrating positive psychosocial factors (PPFs), including happines...
Evaluation of deep learning estimation of whole heart anatomy from automated cardiovascular magnetic resonance short- and long-axis analyses in UK Biobank.
European heart journal. Cardiovascular Imaging
Sep 30, 2024
AIMS: Standard methods of heart chamber volume estimation in cardiovascular magnetic resonance (CMR) typically utilize simple geometric formulae based on a limited number of slices. We aimed to evaluate whether an automated deep learning neural netwo...
Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank.
Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research
Aug 21, 2024
Fracture prediction is essential in managing patients with osteoporosis and is an integral component of many fracture prevention guidelines. We aimed to identify the most relevant clinical fracture risk factors in contemporary populations by training...
The Diagnosis of Cardiovascular Disease Using Simple Blood Biomarkers Through AI and Big Data.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2024
Cardiovascular disease (CVD) is the leading cause of global mortality, diagnosed primarily through costly imaging modalities which are often overused in asymptomatic patients. Our project aims to develop an AI-based solution for CVD risk stratificati...
An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Alzheimer's disease (AD) manifests with varying progression rates across individuals, necessitating the understanding of their intricate patterns of cognition decline that could contribute to effective strategies for risk monitoring. In this study, w...
Machine Learning Strategies for Improved Phenotype Prediction in Underrepresented Populations.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Jan 1, 2024
Precision medicine models often perform better for populations of European ancestry due to the over-representation of this group in the genomic datasets and large-scale biobanks from which the models are constructed. As a result, prediction models ma...
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