Stanford researchers in the Woo Lab have developed a novel device that allows for direct visual assessment of the aortic valve apparatus under physiologic pressure in aortic valve procedures.
Stanford inventors have developed a method for collagen compression along with a polymer mesh as a mechanical support to produce collagen-based composite grafts.
Stanford doctors have developed a retractor that easily and accurately measures orbital compartment pressure without requiring precise orientation to the central cornea.
Remotely operated robotic devices are becoming increasingly important in fields such as medicine, space and field research. However, their widespread application is hampered by distance between the robot and its operator which results in communication delays.
A Stanford University physician has developed a device to stimulate regeneration of olfactory nerves using minimally invasive electrical neurostimulation.
Researchers in the Stanford Robotics Lab have developed a dynamically adaptive workspace mapping control method that adjusts remote task resolution to keep haptic-robot (in real-world applications) or haptic-avatar (in virtual environment) interactions within the device works
Researchers in the Stanford Robotics Lab have developed a compact high-fidelity haptic teleoperation system which shows accurate and isotropic behavior in translation and rotation.
Doctors with Stanford Medicine have developed a multi-user, mixed reality medical simulation application. Medical in-situ and simulation training centers cost millions of dollars a year to administer, with limited availability to those in remote areas or the third world.
Researchers in the Nakauchi lab at Stanford University have shown that the contribution of human donor cells to tissues and organs can be increased in an interspecies host embryo by knocking out insulin growth factor 1 receptor (Igf1r).
Stanford researchers have developed a technique to interpret contact events between a human and a device equipped with a force sensor. It can detect and classify distinct touch interactions such as tap, touch, grab, and slip.