Search Results - imaging

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High-Performing, Dual Purpose, Anti-Cancer Agents

Description This technology is a series of cyanine-based compounds for efficient targeting of cancerous tissues and fluorescent imaging-guided surgery under Near-Infrared (NIR) imaging. With proven success in animal models, these compounds are specifically engineered for fast targeting, ensuring deep tissue penetration and a strong signal-to-background...

Published: 3/12/2025 | Inventor(s):

Keywords(s):

Category(s): Imaging

Highly Specific Cartilage-Targeting Imaging Agents for Early Detection of Arthritis

Description This technology is a new class of dyes designed for cartilage-specific imaging in the near-infrared-II (NIR-II) window. Currently, there is a lack of tissue-specific diagnostic methods for early detection of arthritis, and of clinically available, high quality, cartilage contrast agents. This lack of early diagnostic capability means that...

Published: 2/21/2025 | Inventor(s): Maged Henary, Hak Soo Choi, Homan Kang

Keywords(s):

Category(s): Imaging, Research Tool

Low-Cost Detection of Retained Surgical Items Before Closure

Description This technology is an innovative platform to detect surgical items retained in the human body, including sponges, gauzes, cottonoids, scalpels, needles, and others. Surgical items retained in the body create a variety of health, legal and monetary consequences. For the patient, the result can be infection, blood poisoning, organ failure...

Published: 1/24/2025 | Inventor(s): Maged Henary, Jordan Malray

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Category(s): Imaging

Non-Invasive, Early-Stage Liver Fibrosis Diagnostic

Description This technology is a cutting-edge non-invasive liver fibrosis detection technology, a revolutionary advancement in the early diagnosis of liver fibrosis. Detecting liver fibrosis early is crucial because it helps address and potentially prevent the progression of liver diseases that can lead to more severe conditions such as cirrhosis,...

Published: 3/12/2025 | Inventor(s): Yi Jiang, Hao Chen, Sergey Klimov, Bin Zhang

Keywords(s): Liver Disease Detection

Category(s): Diagnostic, Imaging