Program Director, Smart and Connected Health
Directorate for Computer and Information Science and Engineering
National Science Foundation
Friday July 19, 10:30 – 12:00
Location: AMU Ballroom E
Personalized medicine and prevention approaches, aided by new sensing, analytics, language technologies, visualization tools and interface methods, have the potential to transform health from reactive treatments based on deviations from population-level data to one in which interventions and prevention are tailored to individual characteristics. While this may be the ideal state, to make this happen will require a range of new fundamental scientific advances across computing, engineering and the behavioral and social sciences in concert with the efforts of the biomedical research community. These partnerships are needed because the solutions to complex health problems and processes must effectively satisfy a multitude of constraints arising from the heterogeneity of data, limitations of cyber physical systems, gold standards and not ground truth, cultural factors, network limits, cognitive challenges, and barriers to patient, provider and caregiver behavioral change. This talk explores the opportunities and challenges in developing a smarter and more connected health ecosystem and highlights promising new areas of research.