  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.
