A novel imaging technology that uses acoustic signals induced by pulsed electric fields for real-time, in situ monitoring of electroporation cancer ablation therapy.

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.

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.

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.

Researchers at the University of California, Davis, have developed a model to estimate biological and chronological age from blood serum samples.

Researchers at the University of California, Davis have developed a technique to precisely determine the boundary of melanoma tumors, in order to improve surgical outcomes through more accurate surgical planning and tissue preservation.

Researchers at the University of California, Davis have developed a noninvasive optical technology that simultaneously measures fetal oxygen saturation and blood flow during labor through advanced interferometric spectroscopy.

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Researchers at the University of California, Davis have developed a compact intraoperative sensing solution that helps clinicians identify cancerous tissue during minimally invasive procedures. The technology provides directional insight into the presence of approved molecular imaging tracers during surgery, addressing limitations of existing bulky or surface-limited tools. By offering intuitive, real-time guidance without disrupting surgical workflow, the approach supports more precise and confident tissue removal.

Researchers at the University of California, Davis have developed a compact system for directional detection of gamma rays and X‑rays without relying on heavy mechanical collimators. The approach improves the ability to localize radiation sources while reducing size, weight, and operational complexity compared to conventional solutions. The technology supports faster, more flexible use in clinical and industrial environments where directional radiation information is valuable.

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Researchers at the University of California, Davis have developed advanced epigenetic methods and systems that detect and assess developmental risks in embryos caused by maternal stress prior to conception.

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.

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Researchers at the University of California, Davis have developed a computer-implemented method for accurately classifying congenital heart defects in newborns using pulse oximetry and machine learning.

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An advanced wearable bio-electronic device for non-invasive abnormality prediction, early diagnostics, and disease prevention.

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Chronic and complex wounds represent a substantial clinical and economic burden, affecting more than 6.5 million individuals in the United States and accounting for annual healthcare expenditures exceeding $25 billion. These wounds, including those arising from trauma such as blast and burn injuries, frequently involve multiple tissue types—e.g., skin, bone, and nerve—and are often associated with delayed or incomplete closure. In certain severe trauma populations, complications such as heterotopic ossification, characterized by abnormal bone formation within soft tissue, are observed at elevated incidence. More broadly, recalcitrant wounds are characterized by impaired healing dynamics, including persistent inflammation, fibrosis, and aberrant tissue regeneration. There are barriers to effective recovery because current standards of care have several critical limitations. Most therapies are “reactive” rather than “proactive” and they fail to adapt to the wound’s shifting physiological state, such as fluctuating pH or oxygen levels. Conventional devices use rigid or semi-rigid components, and this mismatch does not conform to contoured or mobile areas like the heel or joints. Moreover, semi-flexible electronics often lose contact during patient movement, and this inconsistent contact leading to sub-therapeutic dosing and persistent inflammation. Bridging this gap requires conformal, bio-integrated systems capable of sustained contact and autonomous, responsive therapeutic delivery to overcome the stagnant healing dynamics of recalcitrant wounds.

Chronic and complex wounds present a massive challenge for both patients and the healthcare system. In the United States alone, over 6.5 million people struggle with these injuries. Recent clinical data suggests that treatment costs now exceed $30 billion dollars annually. These wounds often include diabetic foot ulcers, bedsores, and severe trauma from accidents or combat. These wounds rarely heal on their own because they frequently suffer from poor blood flow and stalled healing processes. In extreme cases such as combat-related amputations, patients may even develop heterotopic ossification, which is a specific complication where bone mistakenly grows inside soft muscle tissue, making the recovery process even harder. Standard wound care is often reactive rather than proactive. Doctors usually check a wound every few days or weeks and apply treatments that do not change until the next visit. While tools like vacuum-assisted healing or lab-grown skin have helped to a certain degree, they have major drawbacks, including too bulky or complicated to administer and use at home. Moreover, these do not address the biggest flaw in today's wound care in that it is essentially "blind" between doctor visits, so while your body’s chemistry can change over hours and days, the current standard of care remains stubbornly static. Recent clinical data shows that this lack of precision is more than just an inconvenience; it is a primary reason why chronic wounds stall.

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