Improving stroke prediction using AI and computational fluid dynamics
See-Mode Technologies is developing a novel solution for assessing the risk of stroke and vascular diseases. By combining Computer Vision and Computational Fluid Dynamics, See-Mode provides clinicians with anatomical and functional information that they do not have access to, with existing clinical tools. See-Mode aims to save time, increase accuracy, and reduce the number of patients suffering from stroke.
Dr Milad Mohammadzadeh, Co-founder He holds a PhD in Applied Physics and a BSc in Mechanical Engineering from the Nanyang Technological University of Singapore (NTU).
Dr Sadaf Monajemi, Co-founder She holds a PhD in Electrical and Computer Engineering from the National University of Singapore (NUS). She also has a BSc in Electrical Engineering and a dual degree in Biomedical Engineering.