Developing an Ecosystem of Intelligent Systems for Personalized Medicine
At Interconnected & Integrated Bioelectronics Lab (I²BL), we design and fabricate nano/microelectrochemical sensors to control, isolate and sense biomarkers in highly complex biological media. Informative biomarkers include electrolytes, metabolites, proteins, genes and cells, the abundance of which in physiological samples such as blood, sweat, saliva and urine are indicative of the individual’s health. Additionally, we integrate our devices into electronic platforms with system-level functionalities to enable translational applications. In that regard, we exploit emerging technologies such as 3D printing and flexible, and stretchable electronics to tailor our platforms toward the physiological sample under analysis. By creating a network of these biomonitoring platforms we can gain a comprehensive view of an individual’s health state at molecular levels. This network provides an infrastructure for the collection of large data sets at population levels, which will inform clinical investigations and generate predictive algorithms for understanding our personal and societal health needs.
Design Framework and Sensing System for Noninvasive Wearable Electroactive Drug Monitoring (ACS Sensors 2019)
A Wearable Mediator-free Electroenzymatic Sensing Methodology (Adv. Func. Mat. 2019)
A fully integrated wearable platform for multiplexed in-situ perspiration analysis (PNAS 2017 and Nature 2016)
Controlling the orientation of proteins during immobilization on solid-state surfaces using electric field (PNAS 2015)
A 3D printed form-fitting glove with embedded devices and electronics for thermotherapy (Adv. Mat. Tech. 2016) Cover Article
Extraction of signal from noise from enabled by multi-finger electrode sensing and post-processing for impedance cytometry (IEEE Sensors 2015)
OUR RECENT COVERS
A ferrorobotic system for automated microfluidic logistics: ferrobots can be programmed to perform massively parallelized and sequential fluidic operations at small length scales in a collaborative manner.
A distributed terminal-based sensing network is demonstrated, which capitalizes on the fingertip for simultaneous non-invasive biomarker data sampling and user identification.