Researchers in the Fan group have developed a method for epitaxial growth of double heterojunction semiconductor diodes capable of suppressing parasitic non-radiative recombination effects.
Stanford researchers have created a portable, wearable device for long-term nystagmus tracking to better diagnose episodic vertigo. Current methods utilize head goggles in video nystagmography to monitor eye movement while the patient is in a clinical setting.
Stanford researchers at the Liao and Xing Labs have developed and tested a machine learning algorithm for augmented detection of bladder cancer. Machine learning has the potential to enhance medical decision making in cancer detection and image analysis.
Stanford engineers at Zhenan Bao's laboratory have designed a compliance sensor which can identify softness (compliance) of touched objects and provide human-like sensation to robots and prosthetics.
Researchers at Stanford have developed a wearable, low-cost device that provides intermittent vessel hemodynamics measurement. This technology won a KidneyX prize and may improve the health of end stage renal disease patients.
This bandage-like multi-lead, continuous ECG monitoring device uses new stretchable electrode material developed in the Bao group to accurately and imperceptibly diagnose cardiac arrhythmia.
Researchers at Stanford have developed a device capable of delivering ultrasonic neuromodulation to defined areas of the brain while simultaneously recording neuronal activity with cell-type specificity.
Researchers in Dr. Cutkosky's laboratory have developed a gripper device that allows industrial robots to handle very soft or delicate objects. Effective handling of delicate objects remains a challenging problem in manufacturing.
Stanford researchers have built a sound powered, wireless medical implant. The implant contains a piezoelectric energy receiver, an integrated circuit chip, and a loop antenna.
Stanford researchers at the Kasevich Lab have developed a module that can attach to any standard optical system or sensor for wide-field, time-resolved imaging.
Stanford researchers have designed a frequency-multiplexed neural probe architecture that enables massive scaling of electrophysiological recording from neurons.