Paper
Workshop and Seminars
Making Invisible Visible with Data, ML and Devices

Making Invisible Visible with Data, ML and Devices: Prof. Ramesh Raskar, MIT Media Lab

A new class of digital health platforms and a data-transparent health ecosystem can provide tremendous cost, efficacy and health benefits to the society by enabling informatics-powered actionable foresights. The presentation covers research from patient-scale to population-scale in all 3 domains, physical: diagnostic devices and imaging, computational: automated and private machine learning and health markets, and global: social networks, environmental sensors and geospatial analysis. At the physical level, ubiquity of devices can transform the continuous, proactive data driven health solutions. At the computational level, the next generation of ‘decentralized informatics’ can tackle the false dichotomy between data utility and data confidentiality and overcome the data silos. At the global level, the world-scale approach can help us enhance EHR, learning systems and population studies to a dynamic health grid and a health OS.