Researchers at the University of California Davis have developed a brain-computer interface technology that decodes neural signals in real-time to synthesize intelligible voice output using advanced transformer-based neural networks.

Researchers at the University of California, Davis have developed a combined photonic-electronic neural-network apparatus that combines optical and electronic integrated circuits to perform ultrafast, wavelength-parallel neural network operations with enhanced throughput and low power consumption.

Researchers at the University of California, Davis have developed a compact two-photon miniscope designed to support high-resolution neural activity imaging over an expanded field of view in freely moving animals. The system achieves a favorable balance between imaging performance and device footprint, enabling large-scale neural observations while minimizing interference with natural behavior.

Researchers at the University of California, Davis have developed a radiotherapy device that integrates ultra-high magnetic fields with high-energy X-ray beams to precisely target tumors while minimizing radiation exposure to healthy tissue.

Researchers at the University of California, Davis have developed AAV-mediated gene therapy that delivers the choline acetyltransferase (ChAT) gene to treat presynaptic congenital myasthenic syndromes and related neuromuscular disorders.

Researchers at the University of California, Davis have developed a hybrid system combining Fluorescence Lifetime Imaging (FLIM) and Interferometric Near-Infrared Spectroscopy (iNIRS) within a single optical probe for advanced, multimodal tissue analysis.

Researchers at the University of California, Davis have developed a non-adhesive, adjustable, and low-profile device designed to securely stabilize neonatal and pediatric endotracheal tubes while minimizing skin injury and pressure sores.

Researchers at the University of California, Davis have developed a hybrid quantum-classical computational workflow that enhances protein-protein binding site identification by quantum-assisted pruning of molecular structures prior to classical docking.