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Ageing themes

AI in Ageing Research

Awareness of the importance of utilising Artificial intelligence (AI) within ageing and longevity research is rapidly increasing in academia and industry. Modern deep learning techniques used to develop age predictors offer new possibilities for diverse data types. This will enable a holistic view to identify novel geroprotectors, biomarkers, drug discovery and biotechnology in the healthcare and pharmaceutical industry. Ageing Research at King’s (ARK) is committed to bringing together AI expertise across King’s to explore its utility and impact for ageing research. Allied academic and commercial partners will employ a variety of AI-based methods to explore patterns that have significant potential to impact healthy ageing, age-related diseases and targeted therapeutics. The aims of this ARK theme include:

  • Identification of novel ageing biomarkers
  • Accelerated diagnosis of age-related diseases, with increased accuracy to minimise errors
  • Refining clinical trial methods to facilitate recruitment, retention and ongoing reappraisal
  • Development of personalised treatment practices
  • Promoting effective healthy ageing lifestyles, such as choices in nutrition and exercise

ARK Affiliated AI Groups:

Institute of Psychiatry, Psychology and Neuroscience

Department of Old Age Psychiatry
Department of Neuroimaging
Department of Biostatistics
Biomarker Research and Imaging for Neuroscience (BRAIN) Centre

Faculty of Life Sciences and Medicine

School of Biomedical Engineering & Imaging Sciences
London Medical Imaging and AI Centre for Value Based Healthcare

Faculty of Natural & Mathematical Sciences

Department of Informatics.

External AI Partners:

Biogerontology Research Foundation
Insilico Medicine

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