Summary: Stanford researchers at the Melosh Lab have proposed a non-invasive, high electrode density, high resolution (100 micrometers to 10 nanometers) neural device implantation for electrical stimulation of neural/biological tissues.
Researchers at Stanford have developed methods to identify and treat MYC-driven cancers, including renal cell carcinoma (RCC). RCC is a common, aggressive type of kidney cancer and effective therapeutics are lacking.
Stanford researchers patented a method to design, computationally optimize and fabricate efficient optical devices using semiconducting and dielectric nanostructures.
Stanford researchers have developed an injectable, biocompatible hydrogel consisting of extracellular matrix (ECM) from human cadaveric tendons as a potential scaffold for guided tissue regeneration and tissue engineering purposes.
Researchers in Profs. Jonathan Fan and Jim Plummer's laboratory have patented a generalized, CMOS-compatible process to fabricate single crystal metal components on amorphous insulator substrates.
Stanford researchers have developed a method of assigning a “glucotype” to patients based on their temporal glycemic patterns. This algorithm classifies people with glycemic dysregulation through constant monitoring.
Researchers in Prof. Amin Arbabian's laboratory have developed a modular RF-Ultrasound architecture to download data, upload data or wirelessly charge devices implanted deep in the body.
These light trapping solar cell structures increase optical absorption and carrier collection, improving efficiency by 24%, while significantly reducing the solar cell active layer thickness and thus lowering cost.
This invention, the “Charge Cloud Tracker” is a fast, low-cost, strip geometry x-ray detector that is predicted to provide limiting resolution on the order of 5 microns, with very high x-ray detection efficiency.
This technology is a novel design to improve the performance of electron guns used with MRI for real-time image guidance during linear accelerator (linac)-based radiotherapy.
Researchers at Stanford have developed a structure for a Low-Threshold Germanium laser that is easily integrable into electronic and photonic circuits, and competitive with current state-of-the-art III-V lasers.
Researchers in Prof. Sylvia Plevritis' laboratory have developed an algorithm designed to optimize cancer combination therapy for individual patients by analyzing distinct single-cell responses from heterogeneous tumors.