Researchers at Stanford have developed a device to monitor environmental exposure in personal (wearable) or public (stationary) settings. Human health can be viewed as the interactive outcome between inherited traits and environmental risks.
Stanford researchers designed a system to enable x-ray visualization of the tracheobronchial tree to aid the physician in guiding endoscopic tools in the pulmonary tract.
Stanford researchers in Zhenan Bao and Yi Cui's labs have developed an organic redox mediator that could make Lithium Sulfur batteries charge faster with less energy.
Stanford inventors have developed a mesenchymal stem cell-based gene therapy that can target the inflammatory environment and secrete immunomodulatory cytokines. The model has been demonstrated in bone marrow mesenchymal stem cells in vitro.
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 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.
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.
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