AIMC Topic: Biological Specimen Banks

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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...
Aged Male Middle Aged Humans Female United Kingdom Accelerometry UK Biobank Exercise Body Mass Index Biological Specimen Banks
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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...
Aged Male Middle Aged Female Risk Factors Personal Satisfaction Coronary Artery Disease Biological Specimen Banks Risk Assessment Social Support Predictive Value of Tests Humans Machine Learning Prognosis UK Biobank United Kingdom Happiness
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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...
Magnetic Resonance Imaging, Cine UK Biobank Imaging, Three-Dimensional Biological Specimen Banks United Kingdom Middle Aged Deep Learning Humans Female Aged Male Cardiovascular Diseases
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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...
Risk Factors Aged UK Biobank United Kingdom Machine Learning Humans Middle Aged Switzerland Postmenopause Prospective Studies Risk Assessment Biological Specimen Banks Osteoporotic Fractures Female Fractures, Bone
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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...
Electronic Health Records Disease Progression Biological Specimen Banks Alzheimer Disease Humans United Kingdom Neural Networks, Computer UK Biobank
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Readiness for Artificial Intelligence in Biobanking.

Biopreservation and biobanking Apr 1, 2023
Artificial Intelligence Biological Specimen Banks
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POPDx: an automated framework for patient phenotyping across 392 246 individuals in the UK Biobank study.

Journal of the American Medical Informatics Association : JAMIA Jan 18, 2023
OBJECTIVE: For the UK Biobank, standardized phenotype codes are associated with patients who have been hospitalized but are missing for many patients who have been treated exclusively in an outpatient setting. We describe a method for phenotype recog...
United Kingdom Rare Diseases Machine Learning Phenotype Biological Specimen Banks
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Human Retinal Organoids in Therapeutic Discovery: A Review of Applications.

Handbook of experimental pharmacology Jan 1, 2023
Human embryonic stem cells (hESCs)- and induced pluripotent stem cells (hiPSCs)-derived retinal organoids (ROs) are three-dimensional laminar structures that recapitulate the developmental trajectory of the human retina. The ROs provide a fascinating...
Retina Artificial Intelligence Biological Specimen Banks Reactive Oxygen Species Organoids Humans
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Machine learning powers biobank-driven drug discovery.

Nature biotechnology Sep 1, 2022
Machine Learning Drug Discovery Biological Specimen Banks
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Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank.

Journal of the American Medical Informatics Association : JAMIA Jun 12, 2021
OBJECTIVE: The objective was to develop a fully automated algorithm for abdominal fat segmentation and to deploy this method at scale in an academic biobank.
Abdominal Fat Electronic Health Records Deep Learning Biological Specimen Banks Humans Tomography, X-Ray Computed
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