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Development of Dominant Negative CD40L Antagonists DACD40L
Researchers at the University of California, Davis have engineered dominant negative CD40L mutant polypeptides that inhibit CD40/CD40L-mediated signaling, offering therapeutic potential for inflammatory, immune disorders, and cancer with improved safety profiles.
Method for Detection of Virus Transmission Enhancing Mutations Using Population Samples of Genomic Sequences
Researchers at the University of California, Davis have developed a computer-implemented method to identify viral mutations that enhance transmission and predict their prevalence in populations over time.
Patient-Ventilator Asynchrony Monitor
Researchers at the University of California, Davis have developed technology that provides an advanced system for monitoring and supporting patient resuscitation and mechanical ventilation, enhancing clinical decision-making.
A Multimodal Distributed Sensing Device
Researchers at the University of California, Davis have developed tactile feedback systems that enhance spatial and sensory resolution in sensor arrays through unique signal modulation techniques.
World Model Based Distributed Learning for AI Agents in Autonomous Vehicles
Researchers at the University of California, Davis have developed an approach to enhance autonomous vehicle path prediction through efficient information sharing and distributed learning among AI agents.
Accurate, Non-Invasive Fetal Arterial Oxygen Saturation and Blood Ph Measurement via Diffuse Optics
Researchers at the University of California, Davis have developed non-invasive fetal monitoring that enables accurate, continuous measurement of fetal arterial blood oxygen saturation and blood pH.
A High Degree of Freedom, Lightweight, Multi-Finger Robotic End-Effector
Researchers at the University of California, Davis have developed a technology that introduces a highly adaptable, lightweight robotic end effector designed for complex manipulation tasks in automation.
Brain-to-Text Communication Neuroprosthesis
Researchers at the University of California, Davis have developed a Brain-Computer Interface (BCI) technology that enables individuals with paralysis to communicate and control devices through multimodal speech and gesture neural activity decoding.