Designing diagnostic platforms for analysis of disease patterns and probing disease emergence
  The emerging era of personalized medicine relies on medical decisions,
practices, and products being tailored to the individual patient. Point-of-care
systems, at the heart of this model, play two important roles. First, they are
required for identifying subjects for optimal therapies based on their genetic
make-up and epigenetic profile. Second, they will be used for assessing the
progression of such therapies. Central to this vision is designing systems
that, with minimal user-intervention, can transduce complex signals from
biosystems in complement with clinical information to inform medical decision
within point-of-care settings. To reach our ultimate goal of developing
point-of-care systems and realizing personalized medicine, we are taking a
multistep systems-level approach towards understanding cellular processes and
biomolecular profiles, to quantify disease states and external interventions.
