Theme 2
Development of neuroimaging, computational algorithms/artificial intelligence (AI) to identify biomarkers that can distinguish between healthy and disrupted eye and brain function.
The game-changing ability to undertake in vivo brain or eye imaging in people with visual disfunction is exploited in Theme 2. Researchers use artificial intelligence (AI) and computational science to probe images of the retina and magnetic resonance imaging/functional magnetic resonance imaging (MRI/fMRI) brain scans to discover retinal and brain “signatures” that represent eye and/or brain diseases. One example is a recent finding that Google’s AI can predict what ophthalmologists cannot: whether a fundus photograph of a human eye belongs to a female or male patient. Our cluster members have expertise in AI, MRIs, and retinal imaging. Additional cluster members have expertise in Alzheimer’s disease, Parkinson’s disease, mood disorders, and cerebral vasculopathies.
Chair
Principal Investigators
Hye Jin Chung, Silke Cresswell, Deborah Giaschi, Kendall Ho, Hee Yeon Im, Kamyar Keramatian, Geoffrey Law, Da Ma, Ivan Robert Nabi, Ipek Oruç, Helge Rhodin, Claire Sheldon, Miriam Spering