Researchers at Stanford have developed a frequency-selective MHz power amplifier for generating dielectric barrier discharge (DBD) plasma. Commercial applications include plasma-assisted nitrogen fixation for fertilizer production.
Stanford researchers developed a framework called 'Hummingbird' that predicts the cheapest, fastest and most efficient configurations to execute genomics pipelines on the cloud.
Stanford researchers developed a new technology that prints networks with distinct branch structures that emulate the natural branching observed in in vivo vascular networks.
Metagenomic sequencing offers a powerful approach for the comprehensive monitoring and detection of pathogenic bacteria in food, clinical samples, and the environment.
Stanford inventors have developed a multiomic methodology for identifying and measuring non-structural proteins and RNA species from human hair. This approach will reveal unique biomarker profiles for wellness or diseases that are not currently identified.
Measurement of dissolved CO2 has critical applications in healthcare monitoring and consumer goods quality control, yet is difficult to measure directly.
Researchers in the Roncarolo have discovered transcription factors that enable the tracking and differentiation of type 1 T regulatory (Tr1) cells for the treatment of autoimmune conditions.
Researchers at Stanford have developed a potentially curative treatment strategy for alpha-thalassemia, one of the most common autosomal recessive disorders in the world involving the genes HBA1 and/or HBA2.
Stanford inventors have engineered an adeno-associated virus (AAV) variant on the existing LK03 platform that enables this highly efficient primate-specific serotype for use in rodent preclinical studies.
Researchers at Stanford have developed a CRISPR-based system to degrade viral RNA, with potential applications as both an anti-viral therapeutic and a prophylactic treatment against influenza, SARS-CoV-2, and other viruses.
Stanford researchers developed a technology that efficiently identifies combinations of genetic interventions with lasting, effective therapeutic functions by constructing genetic perturbation libraries containing the desired combination of phenotypes extracted from each cell.