Explore Stanford technologies available for licensing:

Researchers at Stanford have developed a tunable proximity assay with a wide dynamic range that can detect multiple analytes in a single sample.

Researchers at Stanford have developed a massively parallel screening strategy to screen for target-responsive molecular switches.

Stanford researchers have developed a next-generation computational algorithm for diagnostic of pulmonary hypertension (PH) that provides an estimate of the tricuspid regurgitation (TR) velocity (V_max) with increased accuracy and confidence.

Stanford researchers from the Khuri-Yakub group have designed an improved, high spatial resolution ultrasonic neuromodulation device that implements chip waveform instead of continuous wave PIRF.

Researchers at Stanford have demonstrated the first method of its kind for treating cystic fibrosis (CF) using regenerated airway stem cells embedded on a biocompatible scaffold.

Researchers in the Xinnan Wang lab have discovered a novel biomarker and target for treating tauopathies.

Stanford researchers have designed a light-driven bimetallic alloyed plasmonic photocatalyst that can both effectively and selectively catalyze heterogenous hydrogenation.

As artificial intelligence (AI) algorithms enable transformative new user experiences in mobile computing devices, data security and privacy has become increasingly important.

Stanford scientists have developed novel, inhibitory chimeric antigen receptor T cells (iCARs) based on immunoreceptor tyrosine-based inhibitory motif (ITIM)-containing signaling domains that can inhibit standard activating CAR (aCARs) activity (see figure* below).

Stanford researchers have developed a novel method (LISA) for enabling artificial agents / robots to follow natural language instructions in complex environments.

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 novel bioprinting platform for fabricating human assembloids with spatial control of organoid fusion.

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.