Computer Vision News - January 2023

35 Skylar Stolte (tDCS) to improve their cognitive function and possibly other aspects, such as anxiety and depression, which are risk factors for Alzheimer’s disease and related dementia. Building that pipeline involves creating a personalizedheadmodel ,whichrequires20 hours of manual segmentation to segment the whole T1 MRI into 11 tissue types with different conductivity for the electricity to model the current flow in the brain for a specific subject. Everyone, especially older adults, has distinct brain atrophy, adipose distribution, and skull thickness . Skylar’swork isanessential partof this, using deep learning to build a rapid, accurate, As well as providing a solution for finding people with the disease, SMILE lab is conducting unique research with a view to developing precision interventions and personalized treatment plans to prevent at-riskpeople fromdevelopingAlzheimer’s or dementia in the first place . For the past three and a half years, the lab has collaborated with Adam Woods at University of Florida’s College of Public Health and Health Professions . He runs a large-scale phase three clinical trial called ACT, with 379 older adult subjects recruited to perform cognitive training paired with transcranial direct current stimulation Skylar Stolte is a third-year PhD student in the Department of Biomedical Engineering and a Graduate Assistant in Ruogu Fang’s Smart Medical Informatics Learning and Evaluation (SMILE) lab, which focuses on AI and machine learning for neurodegenerative diseases. They speak to us about the lab’s revolutionary work on Alzheimer’s disease and its exciting plans for the future.