About
Sara Calhas is a PhD student at the Centre for Preventive Neurology, Queen Mary University of London, funded by the Wellcome Trust. Her research focuses on applying machine learning and advanced statistical methods to predict individual dementia risk using multimodal health data such as proteomics, metabolomics, genetics, brain imaging, and electronic health records. This life-course approach aims to identify preclinical risk factors and inform future preventative interventions.
Her work emphasizes non-invasive diagnostics and multi-omics integration to develop tailored strategies for altering the disease trajectory. She is affiliated with the Wolfson Institute of Population Health and the Centre for Preventive Neurology, contributing to translational research at the intersection of AI and neurology.
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