Stanford researchers in the Camarillo Lab have patented a model-less, robotic position-control technique that regulates force. The controller simultaneously controls position and applied forces of the manipulator as it moves through a workspace, without requiring a model.
Stanford researchers developed a first-in-class small-molecule inhibitor of the CLC-2 ion channel for research and drug development. CLC-2 is part of the CLC family of chloride ion channels, which regulate the flux of chloride ions across cell membranes.
Stanford researchers at the Xing Lab have developed a novel technique to enable retrospective tuning of soft tissue contrast in MRI (i.e. adjusting the contrast after the image acquisition) using a deep learning-based strategy.
Stanford researchers have developed a method for manufacturing a UV curable epoxy micro lens. Apertures of arbitrary size can be manufactured for micro lenses using this method.
Stanford researchers at the Xing Lab have developed a dosimetric features driven- machine learning model for dose volume histograms (DVHs) and dose prediction for volumetric modulated arc therapy (VMAT) planning.
Stanford researchers have demonstrated the application of pulsed Focused Ultrasound (pFUS), to non-invasively enhance the function and engraftment of pancreatic islets following transplantation.
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.
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 have developed mutant Renilla luciferase proteins and reporter gene constructs which modify the physical characteristics of the Renilla luciferase protein for use in biological assays.
Stanford researchers at the Rubin Lab have developed a software system to optimize federated or distributed deep learning methods to overcome current challenges of processing heterogeneous data across institutions such as hospitals.
Stanford researchers have engineered an exceptionally bright, cyan-excitable orange-red fluorescent protein (CyOFP) that can be used both for multiplex imaging with GFP and for high-sensitivity, bioluminescent in vivo imaging.