Sebastian Moguilner has been working in experimental and computational neuroscience, primarily on fMRI data analysis to study neurodegeneration using machine learning techniques and neural network modeling in hopes of obtaining better biomarkers for dementia.
By 2050, the number of people with dementia in Latin American Countries (LAC) is predicted to increase four-fold. Although some countries recognize the importance of harmonizing diagnostic procedures, this awareness has not reached a regional level. Recent developments in artificial intelligence, particularly in machine learning, show promising results when used as diagnostic tools. In the quest for better and more reliable biomarkers of dementia, a regional initiative involving a web platform is needed. Big databases should be available to share neuroimaging data obtained from different MR scanners to test new biomarkers, and advanced cloud computing services should be available to perform machine-learning analysis for timely and accurate dementia diagnosis.
Bio: Sebastian Moguilner received his physics and master's in medical physics degrees from the Balseiro Institute, Bariloche, Argentina. He is currently finishing his PhD studies in the School of Nuclear Medicine Foundation, Mendoza, Argentina.