Researchers at Stanford have discovered new, chemically distinct opioid receptor ligands that may be used to develop safer opioid therapeutics. Opioids are ligands that bind to the mu, delta, and/or kappa opioid receptors.
Stanford researchers have developed a Data-driven Urban Energy Benchmarking (DUE-B) methodology that uses readily available building energy consumption data to help municipalities design and develop energy efficiency policies and programs.
Disease indication - HIV infection, specifically reversal of viral latency alone or in combination with other latency reversal agents to improve reservoir targeting.
Stanford researchers have developed a method which can simultaneously observe two positron emitting isotopes using two distinct molecular probes and a modified PET scanner. This system enables the simultaneous observation of two different molecular processes.
Stanford researchers have designed and successfully tested two prototype dynamic surface grasping devices. These devices use opposed pairs of gecko-inspired directional adhesives to attach to any smooth surface.
Engineers in Prof. Shanhui Fan's laboratory have developed an efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.
Engineers in Prof. Zhenan Bao's lab have developed highly conductive, stretchable composite hydrogel materials that can be used as soft electrodes that match the mechanical properties of a range of biological tissues.
With energy costs rising and environmental problems worsening, there's a growing need for efficient, scalable, alternative energy. A team of researchers at Stanford University led by Prof.
Stanford researchers have developed a method that can leverage state-of-the-art techniques that are not clinically feasible to train a neural network to distinguish contrast agents versus background tissue in a way that is safe, real-time, and can expedite the translation of u
Stanford researchers at the Vuckovic Lab have created a computational nanophotonic design library for gradient-based optimization called the Stanford Photonic INverse design Software (Spins).
A team of Stanford engineers have developed a patented integrated circuit to amplify and digitize pulse signals from silicon photomultiplier (SiPM) and avalanche photodiode (APD) -based semiconductor photodetectors for Positron Emission Tomography (PET) applications while prov
Stanford Researchers have developed a method for a high-resolution photon imaging device with high fill factor (the ratio of the area of the active imaging elements vs. the dead area occupied by non-imaging elements).
Stanford researchers have prototyped a system to enhance the sensitivity of triple coincidences for multi-isotope PET by adding an extra detector dedicated for the detection of the third prompt gamma in coincidence with the annihilation photons.