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Methods of Characterizing Nanoparticle Compositions
Researchers at the University of California Davis have developed a method to spatially characterize and chemically analyze nanoparticles from biological and environmental samples for enhanced disease diagnosis and pollutant detection.
Methods for Preparing Ergoline Analogs
Researchers at the University of California, Davis have developed methods to create ergoline analogs that promote neuronal growth without hallucinogenic effects.
Gene Therapeutic Vector for KSHV-Associated Diseases
Researchers at the University of California, Davis have developed a gene therapy that selectively targets KSHV-infected tumors through virus-specific sequences and suicide genes to induce tumor cell death.
Method for Restoration of Paneth Cell Alpha-defensins in Human Intestinal Epithelial Cells
Researchers at the University of California, Davis have discovered FOXO inhibition using compounds such as AS1842856 dramatically enhances alpha-defensin expression in human intestinal organoids, restoring antimicrobial peptide levels comparable to native tissue.
Isotryptamine Tetracycles for Treating Brain Disorders
Researchers at the University of California, Davis have developed a technology for the treatment of neuropsychiatric and neurological diseases with compounds that enhance neural plasticity without the hallucinogenic effects.
EyeCV: A Novel Tool for Rapid, Accurate, and Reproducible Screening of Endothelial Cell Morphology in Diseased and Healthy Corneas
Researchers at the University of California, Davis have developed a machine learning-based platform for early, accurate, and efficient detection of endothelial disease from corneal images assessment.
Algorithmic Lifestyle Optimization in Personalized Medicine
Researchers at the University of California, Davis have developed an algorithm that uses data from group testing to rapidly provide lifestyle optimizations that improve the health of patients.
Glycan Age Prediction Model
Researchers at the University of California, Davis, have developed a model to estimate biological and chronological age from blood serum samples.