Abstract

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Join us for the Cambridge AI in Medicine Seminar Series, hosted by the Cancer Research UK Cambridge Centre and the Department of Radiology at Addenbrooke’s. This series brings together leading experts to explore cutting-edge AI applications in healthcare—from disease diagnosis to drug discovery. It’s a unique opportunity for researchers, practitioners, and students to stay at the forefront of AI innovations and engage in discussions shaping the future of AI in healthcare.

This month’s seminar will be held on Wednesday 28 May 2025, 12-1pm at the Jeffrey Cheah Biomedical Centre (Main Lecture Theatre), University of Cambridge and streamed online via Zoom. A light lunch from Aromi will be served from 11:45. The event will feature the following talk:

AI for neuroimaging in dementia – Dr Timothy Rittman, Senior Clinical Research Associate, Department of Clinical Neurosciences, University of Cambridge

Timothy Rittman is an Alzheimer’s Research UK Senior Fellow, Senior Clinical Research Associate at the University of Cambridge and Honorary Consultant Neurologist at Addenbrookes Hospital. His research centres around neurodegenerative tauopathies, combining neuroimaging, cognitive assessments and neuropathology to understand how these diseases affect the whole brain. He also has an interest in translating methods from artificial intelligence and big data for use in memory clinics, and leads the Quantitative MRI in NHS Memory Clinics (QMIN-MC) study collecting real world data for validation of AI models. Tim co-leads the DEMON dementia network’s Imaging Working group and is an adviser to the World Young Leaders in Dementia. He is a consultant in the Addenbrookes Memory Clinic, and leads a clinic for people with Progressive Supranclear Palsy and Corticobasal Degeneration, in addition to co-leading a dementia genetics clinic.

Abstract: Novel biomarkers for early detection and prognosis in dementia are urgently needed, particularly with the advent of potentially disease modifying treatments. AI approaches to neuroimaging are promising, but require real world validation. This talk will cover the Quantitative MRI in NHS Memory Clinics (QMIN-MC) study, and how it is collecting real world data to bridge the gap between research and clinical application.

This is a hybrid event so you can also join via Zoom:

https://zoom.us/j/99050467573?pwd=UE5OdFdTSFdZeUtIcU1DbXpmdlNGZz09

Meeting ID: 990 5046 7573 and Passcode: 617729

We look forward to your participation! If you are interested in getting involved and presenting your work, please email Ines Machado at im549@cam.ac.uk

For more information about this seminar series, see: https://www.integratedcancermedicine.org/research/cambridge-medai-seminar-series/