AIMC Topic: Biological Specimen Banks
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Validation of a deep-learning-based retinal biomarker (Reti-CVD) in the prediction of cardiovascular disease: data from UK Biobank.
BMC medicine
Jan 24, 2023
BACKGROUND: Currently in the United Kingdom, cardiovascular disease (CVD) risk assessment is based on the QRISK3 score, in which 10% 10-year CVD risk indicates clinical intervention. However, this benchmark has limited efficacy in clinical practice a...
A Literature Review on Ethics for AI in Biomedical Research and Biobanking.
Yearbook of medical informatics
Dec 4, 2022
BACKGROUND: Artificial Intelligence (AI) is becoming more and more important especially in datacentric fields, such as biomedical research and biobanking. However, AI does not only offer advantages and promising benefits, but brings about also ethica...
Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank.
Journal of the American Heart Association
Nov 29, 2022
Background Automated analysis of cardiovascular magnetic resonance images provides the potential to assess aortic distensibility in large populations. The aim of this study was to compare the prediction of cardiovascular events by automated cardiovas...
NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.
European radiology experimental
Nov 8, 2022
NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of making it more predictive, preventive, and personalised by advancing translational research based on quantitative imaging and integrative omics analyses....
Biobanking in the digital pathology era.
Oncology research
Aug 31, 2022
Digital Pathology is becoming more and more important to achieve the goal of precision medicine. Advances in whole-slide imaging, software integration, and the accessibility of storage solutions have changed the pathologists' clinical practice, not o...
Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks.
European radiology experimental
Jul 1, 2022
A huge amount of imaging data is becoming available worldwide and an incredible range of possible improvements can be provided by artificial intelligence algorithms in clinical care for diagnosis and decision support. In this context, it has become e...
How paediatric drug development and use could benefit from OMICs: A c4c expert group white paper.
British journal of clinical pharmacology
Feb 9, 2022
The safety and efficacy of pharmacotherapy in children, particularly preterms, neonates and infants, is limited by a paucity of good-quality data from prospective clinical drug trials. A specific challenge is the establishment of valid biomarkers. OM...
Machine-learning algorithms predict breast cancer patient survival from UK Biobank whole-exome sequencing data.
Biomarkers in medicine
Oct 15, 2021
We tested whether machine-learning algorithm could find biomarkers predicting overall survival in breast cancer patients using blood-based whole-exome sequencing data. Whole-exome sequencing data derived from 1181 female breast cancer patients with...
Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction.
Nature communications
Sep 6, 2021
A promise of genomics in precision medicine is to provide individualized genetic risk predictions. Polygenic risk scores (PRS), computed by aggregating effects from many genomic variants, have been developed as a useful tool in complex disease resear...
Predictions, Pivots, and a Pandemic: a Review of 2020's Top Translational Bioinformatics Publications.
Yearbook of medical informatics
Sep 3, 2021
OBJECTIVES: Provide an overview of the emerging themes and notable papers which were published in 2020 in the field of Bioinformatics and Translational Informatics (BTI) for the International Medical Informatics Association Yearbook.
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