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The aim of this work is to target the production of age-specific production of hyperactive platelets as a therapeutic platform to control clot formation that causes thrombosis, stroke, heart attacks, and other cardiovascular disease, as well as platelet overproduction disorders such as essential thrombocytosis. In particular, this effort specifically targets cells that have progressed down an age-specific differentiation pathway. These age specific platelets are hyperactive relative to platelets from younger progenitor cells. These older platelet progenitor cells have been characterized molecularly and functionally characterization and can be targeted using pharmacological, antibody-based, cell based or gene therapy based strategies to control clot formation and platelet activity and numbers.

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Researchers at the University of California, Davis have developed an advanced system that decodes semantic content directly from neural signals to enable natural language communication for users with speech impairments.

Researchers at the University of California, Davis have developed ibogaine-related compounds that promote neural plasticity and treat neuropsychiatric and neurological disorders.

Researchers at the University of California, Davis have developed a targeted gene editing system that reactivates the silenced CDKL5 gene by precise epigenetic modulation to treat CDKL5 deficiency disorder (CDD).

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Researchers at the University of California, Davis have developed non-hallucinogenic compounds with clinically relevant therapeutic efficacy that promote neural growth and plasticity.

Researchers at the University of California, Davis have developed a class of compounds intended for the treatment of neurodegenerative diseases such as Alzheimer's by inhibiting DYRK1A kinase and modulating 5-HT2Rs.

MCFAs provide a synergistic bactericidal effect in combination with antibiotics and bacteriophages to effectively treat antibiotic-resistant bacterial infections.

Researchers at the University of California, Davis have developed an integrated platform that combines AI-driven computational pathology with 3D-bioprinted, patient-derived tumor models to predict therapeutic response and enable functionally guided precision oncology.

Researchers at the University of California, Davis have developed an unmanned aerial vehicle (UVA) with foldable wings enabling vertical takeoff and landing (VTOL) combined with efficient motorless forward flight.

The transition to 5G and 6G networks has led to a widespread adoption of machine learning (ML) for critical functions like modulation classification, channel estimation, resource management, and spectrum sensing. While ML has enhanced operational efficiency, it has simultaneously expanded the attack surface for adversarial ML at the Physical Layer (PHY), for example, from Generative Adversarial Networks (GANs). While techniques like radio frequency (RF) fingerprinting have emerged as a PHY-level authentication method based on hardware-induced signal traits (such as in-phase/quadrature (I/Q) imbalance and error vector magnitude), GANs can synthesize RF signals to mimic legitimate hardware-induced features up to 95% similarity. This is close enough to evade most detection schemes. Existing defenses to GANs based on convolutional neural networks, deep neural networks, supervised retraining, and/or heuristics do not generalize well across different modulations, protocols, channel conditions, or unseen attack types. Autoencoder and reconstruction-based approaches are often limited to clean reference signals, which are not always available in dynamic wireless environments. While GANs are excellent at mimicking low-order statistics (mean/variance), they fail to replicate complex signal structures.

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A breakthrough in synthetic biology: an evolved DNA polymerase that synthesizes natural and modified RNA, paving the way for advancements in epigenetics, vaccine development, and drug discovery.

Researchers at the University of California, Davis have developed a protein-based composition and method that protects bioactive bacteria from thermal and osmotic stress during dehydration to maintain viability and shelf life.

Researchers at the University of California, Davis have developed a method that uses phenolic-rich agro-industrial residues to protect and stabilize beneficial microbes for improved shelf life and bioactivity.

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Researchers at the University of California, Davis and the USDA Agricultural Research Service (ARS) have developed RNAi-based compositions and methods that enhance miticide efficacy to control resistant Varroa destructor mites.

Comprehensive radiation detection across the spectral range requires distinct systems for ionizing and non-ionizing imaging because each technology faces unique architectural hurdles. Modern visible light detection has successfully transitioned from passive plates to digital Active Pixel Sensors (APS) by leveraging Complementary Metal-Oxide-Semiconductor (CMOS) technology to provide every pixel with its own dedicated amplifier and active circuitry. Ionizing radiation detection like X-ray and gamma-ray has relied on exotic scintillators to convert radiation into light, a process prone to lateral light scattering and degraded spatial resolution. Recent advancements in ionizing radiation have shifted toward direct conversion materials like amorphous selenium (a-Se), which transform X-rays directly into electrical charges. However, these direct-conversion devices do not scale to larger areas without significant noise being a factor. This is primarily due to thin-film transistor (TFT) backplanes which, unlike their CMOS counterparts, lack the local amplification necessary to maintain a high signal-to-noise ratio.