Big data in brain imaging: The case of UK Biobank
— Fidel Alfaro-Almagro, PhD Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom
Abstract
UK Biobank has become a powerful resource for the research community, driving transformative advances in many fields, such as brain imaging. In this talk, we will have a glimpse at the neuroimaging part of the project and get an overview of the latest updates in the data processing, like surface modelling. ... By leveraging this vast and diverse dataset, our research has helped unravelling how the complexities of brain dynamics may be obscured by unknown confounding factor. Furthermore, our work underscores the significance UK Biobank has had in addressing urgent real-world challenges, such as understanding the neurological impacts of COVID-19. Through collaborative efforts and innovative approaches, this work exemplifies how UK Biobank catalyzes breakthrough discoveries, enabling tailored interventions for improved public health outcomes.
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Biography
Fidel Alfaro-Almagro studied Computer Sciences at Universidad de Granada (Spain) in 2006, obtained a Masters Degree in Artificial Intelligence from UNED (Spain) in 2011, and completed his DPhil in Clinical Neurosciences at the University of Oxford in 2020. ... Between those degrees, he worked as a Software Engineer in Spanish private consultancy companies and spent a year at CERN (Switzerland) with a fellowship from the Spanish Government. He has worked in brain imaging analysis in Madrid (2011 to 2013) and Oxford (2013 to present day). His research focuses on developing fully automated analysis tools for the UK Biobank Project, the largest brain imaging study to date, with 6 different brain imaging modalities acquired from 100,000 subjects. In this project, his aim is to develop new methods for multimodal-imaging population modelling using supervised machine learning methods, with the ultimate goal being to find early biomarkers of brain diseases.
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