Bioengineering Technologies-Engineering Research Accelerator - Carnegie Mellon University

Bioengineering Technologies

The Bioengineering Technologies Cluster brings together faculty from across disciplines to provide new perspectives and engineered solutions to address challenging problems in biology and medicine. Much of our research focuses on engineering materials and systems targeted for implantation in the body; our teams work closely with clinicians and industry to help formulate and guide this research. Multidisciplinary teams create bioengineered systems for a broad range of applications including tissue engineering, artificial organs, sensors, diagnostic tools, and therapy development. ICES’ past successful history in initiating and supporting bioengineering research and ICES’ current and future commitment to this multidisciplinary field also makes ICES a natural home for many research faculty members whose focus is bioengineering.

Tissue Engineering

Technology-based toolsets for tissue engineering applications are being developed to advance biological discovery and to aid therapy design, fabrication, and delivery. Example toolsets include: bioprinting; computer vision-based cell tracking; non-invasive imaging of tissue engineered construct remodeling in vivo; biodegradable electronics; and, bioactive plastics made from blood plasma.

Faculty: Phil Campbell, Lee Weiss, Marcel Bruchez, and Takeo Kanade.

Bio- Micro Mechanical Systems (BioMEMS)

The goal is to apply MEMS technologies to economically fabricate microminiature sensors for detecting physiological parameters in real-time to provide timely feedback to the physician to help guide patient care. Current projects include: a low-cost, ultra-miniature wireless sensor array that can be permanently implanted within bone (including fractures and grafts) to measure biomechanical stresses in situ at a micro-level scale; and, development of implantable biochemical physiological microsensors to monitor vital status of critical care patients.

Faculty: Phil Campbell (ICES), Gary Fedder (Electrical and Computer Engineering), Alan Rosenbloom (ICES/University of Pittsburgh Medical Center), and Lee Weiss (Robotics Institute).

Computational Biology and Nanotechnology for Disease Therapeutics and Diagnostics

Our goal is to use computational and mathematical simulation tools along with nanotechnology to produce reliable models of molecular, cellular and physiological interactions that will be used to study disease mechanisms. Current projects include lattice-based Monte Carlo modeling of protein assemblies forming within spatially constrained environments as well as integrating nanoscale technology to probe living cells.