The software includes an auto-recognition feature that identifies any device plugged into a laptop, from an electrocardiogram machine to an electron microscope, and translates the signals into a form that can be received by hospital computer systems at the other end.

FORBES: Remote Retirement

The Stanford team's work was featured recently as an invited paper at the prestigious International Electron Devices Meeting (IEDM) as well as a "keynote paper" in the highly regarded IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

ENGADGET: Stanford engineers find work around for barriers to carbon nanotube computers