Explore Stanford technologies available for licensing:

Stanford researchers have developed a novel phantom which can integrate quality assurance (QA) procedures for radiofrequency tracking system, surface mapping system, Winston-Lutz test, the imaging system isocenter test and laser verification.

Barite scale formation in hydraulic fracturing systems is a significant problem with regards to production and permanent formation damage.

Dynamic-contrast-enhanced magnetic resonance imaging (DCE-MRI) provides a characterization of blood flow through vessels and tissues.

In light of the opioid epidemic within the United States, Dr. Eric Gross and colleagues developed a non-opioid therapeutic that reduces pain (Stanford Medicine Press Release).

Stanford researchers have developed a new technology to create a programmable yet low power processing core targeting imaging systems. This core is built around a 2D-stencil processing data-path.

Stanford researchers led by Dr. Arun Majumdar have developed photocatalysts combining transport- and reaction-selective nanostructures for direct methanol production.

Researchers at Stanford have developed a potentially best-in-class method for performing knowledge graph completion tasks.

Patients with celiac disease have a pathological reaction to gluten and have either HLA-DQ2+ (90%) or HLA-DQ8+, but expression of these MHC class II haplotypes is not sufficient and other factors are necessary for the development of celiac sprue.

Stanford researchers have designed an ammonia sensor for water monitoring that is low cost, durable, immersible, and integrated into a cloud network.

Researchers at Stanford have developed a new methodology for image processing that allows for high-throughput characterization of organoid phenotypes.

Stanford researchers have developed a method to suppress immune responses to RNA therapy by chemically treating the RNA with an acylating reagent.

Stanford researchers have developed an innovative AI-driven solution that leverages the BERT-based AI model to automatically classify patient-provider messages into 12 distinct categories, reducing clinician workload and enhancing workflow efficiency in healthcare settings.

Stanford researchers in the Vuckovic group have fabricated thin-film 4H crystal structure Silicon Carbide with excellent quantum and classical photonics properties.

Stanford researchers have patented the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics.

Stanford researchers at the Airan Lab have developed a new deep learning approach to dramatically reduce the amount of ultrasound data required to produce high quality power Doppler images for functional ultrasound (fUS).