Translational Machine Intelligence Lab

Payam Barnaghi, Department of Brain Sciences


Team

  • Nan Fletcher-Lloyd

  • Nathalia Cespedez

  • Tom Jodrell

  • Marco Reed

  • Zeinab Ghannam

  • Iona Biggart

  • Antigone Fogel

  • Louise Rigny

  • Anastasia Gailly de Taurines

  • Chloe Walsh

  • Samaneh Kouchaki

  • Payam Barnaghi

  • MSc Student

  • Researcher

  • PhD Student

  • Postdoc

  • Faculty



Our Focus

Our lab develops next-generation machine learning methods to transform clinical care, with a strong focus on dementia, rare and complex conditions, and multimodal biomedical data. Our work integrates electronic health records (EHR), imaging, genomics, and time-series data to develop predictive, explainable, and clinically deployable models.


What We Do

  • Using AI to help detect dementia earlier and support people living with the condition.
  • Understanding health journeys by analysing long-term electronic health records and omics data.
  • Developing new tools that support clinicians in making faster, more informed decisions.
  • Exploring how changes in the body, not just the brain, may contribute to neurodegenerative conditions such as Alzheimer’s.
  • Creating clinically-informed AI models that can be safely used in real-world healthcare settings.
  • Developing digital consultation tools to assist clinicians caring for children with rare and complex medical conditions.

Our Mission

Our mission is to utilise artificial intelligence to improve the lives of people across the lifespan. We work with clinicians and people with lived experience to develop accessible tools that support earlier detection of dementia, offer clearer insights into long-term health journeys, and guide better decisions in everyday care. By combining data from the brain, body, and clinical records, we aim to gain new insights into conditions such as Alzheimer’s and to create AI systems that are trustworthy, transparent, and ready for use in real-world healthcare settings. We also work on rare and complex conditions in paediatric medicine by developing digital consultation tools that can help clinicians make more informed decisions. Above all, our work is driven by a belief that technology should empower, not replace, the people who care for others.


Our Research Funders

Our research has been supported by the UK Dementia Research Institute (UK DRI), Medical Research Council (MRC), Alzheimer’s Research UK, Alzheimer’s Society, UKRI Engineering and Physical Sciences Research Council (EPSRC), the National Institute for Health and Care Research (NIHR), Wellcome Trust, the NIHR Imperial Biomedical Research Centre (BRC), Great Ormond Street Hospital, and the Royal Academy of Engineering.



Teaching

Our lab offers the “Machine Learning for Neuroscience” module for MSc Computational Neuroscience students at Imperial College London. The module is taught by Professor Payam Barnaghi and runs during the Spring semester. More information can be found at: https://ml4ns.github.io/


Publications

Some of our recent publications are listed below:


    Contact Us

    If you want to contact us for collaborations or questions, please feel free to contact us at the following: p.barnaghi@imperial.ac.uk



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