Researchers at the University of California, Davis have developed a method for producing aligned, food-grade hydrogel fibers at high throughput for scalable cultivated meat manufacturing.

Researchers at the University of California, Davis have developed a solid-state X-ray imager with high temporal resolution.

Researchers at the University of California, Davis have developed metal oxynitride compounds with reduced defect levels that enable improved solar energy conversion efficiency and higher stability than silicon under harsh conditions.

Researchers at the University of California, Davis have developed an innovative Cherenkov-based system for calibrating radiotherapy beams, enabling precise, real-time calibration of radiation dose delivery, including for high-intensity FLASH radiotherapy, improving treatment accuracy and reliability.

Researchers at the University of California, Davis have developed a technology that introduces vaccines that express macrophage-suppressing molecules to significantly enhance inflammatory T-cell functions for improved immune responses.

Researchers at the University of California Davis have developed an unlearning method that precisely removes specific data influences from trained large language models while preserving their overall knowledge and performance.

Researchers at the University of California, Davis have developed an imaging scheme for two-photon microscopes enhancing speed and resolution in neuroscience research.

Researchers at the University of California, Davis have developed an AI-powered framework that bridges the gap between predictive feature analysis and actionable interventions by extracting evidence-based recommendations from scientific literature.