Hosted by the Interactive AI Centre for Doctoral Training and the Intelligent Systems Lab
Contact iai-cdt@bristol.ac.uk if you would like lunch, served between 13.30-14.00
Abstract: Alzheimer’s disease (AD) remains one of the most challenging neurodegenerative disorders to treat, largely due to the complex cellular mechanisms underlying disease progression and the limited success of traditional drug discovery methods. Recent advances in artificial intelligence (AI), particularly deep learning, offer new avenues for developing and repurposing therapeutics by enabling highly detailed analysis of cellular morphology and intercellular interactions. This talk explores the role of AI-driven techniques in AD drug discovery, focusing on the deep learning models that analyse morphological features of neurons, microglia, and astrocytes to identify promising therapeutic targets.