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A Stable BPTI Peptide as Cancer Therapeutic and for Cardiac Surgery to Reduce Blood Loss
Researchers at the University of California, Davis have developed a unique non-sacrificial synthetic peptide substrate designed to inhibit plasmin activity and prevent tumor progression and ascites formation in cancers characterized by elevated plasmin levels.
Photoannealing of Microgels to Form Heterogeneous Constructs
Researchers at the University of California, Davis have developed a method for creating annealed microgel scaffolds using polyethylene glycol-vinyl sulfone, offering improved efficiency and shelf life.
Method To Direct Vascularization Of Tissue Grafts
Researchers at the University of California, Davis have developed a method and composition that direct the growth of long, coronally oriented blood vessels in tissue grafts to improve vascularization and clinical transplant outcomes.
High Affinity Viral Capture Human Decoy Based Proteins for Detection and Protection Against SARS-CoV-2 and Zoonotic Threats
Researchers at the University of California, Davis have developed engineered amyloid fibrils composed of modified β-solenoid proteins fused with pathogen-binding domains that provide ultra-sensitive, stable, and versatile platforms for detecting viruses and other pathogens.
Radio-Metal Trioxo Complexes for Bioorthogonal Click Cycloaddition in Targeted Radionuclide Therapy and Imaging
Brief description not available
Persistent Memory T-Cell Responses to Cancer and Infectious-disease Antigens by Manipulation of Amino Acid-catabolism Pathways
Researchers at the University of California, Davis, have created a technology that uses engineered polynucleotides to deliver both an antigen and an enzyme that breaks down amino acids. This approach is designed to boost long-lasting memory T-cell responses, providing stronger protection against infectious diseases and cancer.
Biliary Gene Therapy
Monoclonal Antibodies To Delay Coagulation Factor XIII Activation
Cellular Degradation Of Extracellular Soluble Proteins
Hijacking Low-Density Lipoprotein Receptor For Extracellular Protein Degradation And Degrader-Drug Conjugates
SCPPPQ Peptides And Custom Antibodies For Periodontitis
TransPPGSep: Fetal Signal Separation using Physically and Physiologically Compliant Synthetic Data
Researchers at the University of California, Davis have developed a machine learning system for accurately separating fetal signals from mixed maternal-fetal photoplethysmography signals acquired non-invasively to enable fetal physiological parameter monitoring.
CathAI: AI-Powered Platform for Automated Coronary Angiogram Analysis and Advanced Cardiovascular Diagnostics
Anti-WISP2/CCN5 Therapy Against Bone Loss
Researchers at the University of California, Davis have developed a novel nanobody specific for WISP2 that restores skeletal stem cell function to treat bone loss and promote bone growth in age-related bone diseases.
AI-Powered Sonogram Analysis System (FAST Ai) for Rapid Detection of Internal Bleeding in Trauma Patients
In-Situ Regenerable, Environmentally Stable, Multimodal Molecular Sensing Wearable Bioelectronics
An advanced wearable bio-electronic device for non-invasive abnormality prediction, early diagnostics, and disease prevention.
Biomaterial-Bound Insulin For Priming Mesenchymal Stem Cells (MSCs) For Wound Healing
An innovative PEG hydrogel system covalently bound with insulin to safely and effectively prime mesenchymal stem cells (MSCs) and enhance their therapeutic potential in wound healing.
A Quantitative, Multimodal Wearable Bioelectronic For Comprehensive Stress Assessment And Sub-Classification
A multimodal, wireless wearable device enabling continuous and detailed stress assessment and subclassification.
Novel Therapeutic Use of the Thyroid Hormone Receptor Beta (THR-ß) Agonist Resmetirom in Congestive Heart Failure
Researchers at the University of California, Davis have demonstrated that THR-β agonists such as resmetirom, when repurposed, can effectively treat heart failure with preserved ejection fraction (HFpEF), addressing unmet clinical needs.
Non-Invasive AI-Based Retinal Inflammation Detection and Severity Estimation Using OCT B-Scans
Researchers at the University of California, Davis have developed a machine learning system that accurately detects and estimates retinal inflammation severity in uveitis patients using non-invasive OCT B-scan images.
Cell Type-Selective, Potent Signaling Pathway Modulation Using A Guide-Effector Bispecific Design
Manipulation Of Internalization Property Of Cell Surface Molecules Using A Guide-Effector Bispecific Design
A Compact Platform For The Deterministic Assembly Of Microfluidic Droplets
Structured Program Of Exercise For Recipients Of Kidney Transplantation (SPaRKT)
Neisserial Surface Protein A Vaccine Antigens With Decreased Binding To Human Complement Factor H