University of Cambridge > Talks.cam > Clinical Neurosciences > “Leveraging AI and data science approaches toward biological insight and translatable tools for neurodegenerative disease”

“Leveraging AI and data science approaches toward biological insight and translatable tools for neurodegenerative disease”

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If you have a question about this talk, please contact Lucy Theobald .

We have entered a new era of Alzheimer’s disease (AD) research, marked by the emergence of disease modifying therapies that target the disease’s hallmark pathology. However, there is still much we don’t understand about how AD develops, how it progresses, and what drives individual differences in disease expression. Therefore, the field is in need of agile research that uncovers new insights into disease biology, while simultaneously developing practical tools for real-life clinical settings. I will present new work from the Dementia Multi-Omics and Neuroimaging (DeMON) lab, where we apply data-driven approaches to human clinical data in order to advance our understanding of neurodegenerative diseases. This presentation will cover several vignettes including the use of connectome-based simulation models to explain the spread of AD pathology through the human brain, using AI to enhance the resolution of clinical brain images, and deriving novel biomarkers and multi-disease diagnostic algorithms from proteomics. The goal of the presentation will be to highlight the lab’s ongoing work with the hope of sparking discussion and future collaboration.

If you want to have a chat with the speaker, please contact Maura Malpetti (mm2243@medschl.cam.ac.uk) in advance.

This talk is part of the Clinical Neurosciences series.

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