NSF Workshop – Reconfigurable Sensor Systems Integrated with Artificial Intelligence and Data Harnessing to Enable Personalized Medicine
March 7 @ 8:00 am - March 8 @ 5:00 pm
The focus of this multi-phased workshop is to determine future strategies for advancing the
fundamental understanding and engineering of reconfigurable sensor systems by integrating
hardware with data harnessing, real-time learning, and artificial intelligence capabilities. Specifically, this
workshop will define the state-of-the-art, necessary innovations, and future challenges facing the
research and development of reconfigurable sensor systems for applications in understanding of human
physiology, pathophysiology, metacognition, cognition, and behavioral psychology.
- Novel Health Markers, Physiological Profiling: Identification of new health signals and
biomarkers enabled by multiplexed sensing and data fusion. Including multidisciplinary topics,
such as proteomics, genomics, transcriptomics, microbiomics, environment, exposure, exposome,
metabolome, diet, nutrition, behavior, cognition, etc.
- Next-Generation Reconfigurable Hardware: Wearable and implantable sensor modalities to
supplement “offline” data with point-of-action intelligence; microelectronics enabling compressed
sensing and deep learning; machine learning system interfaces; etc.
- Advanced Software/Data Analytics: Big data analytics for mobile, health data security and
privacy, edge computing, predictive analytics, apps for actionable intelligence, cyber-physical
- Clinical/Behavioral Deployment and Impact: Personalized medicine, excercise performance
monitoring, chronic pain management, diet, metacognition, cognition, behavioral psychology,
internet of medical things, mobile technologies for acute care, etc.
Additional information about attending this event, as well as costs for attending, will be posted soon.