Location History:
- New Orleans, LA (US) (2022)
- Scottsdale, AZ (US) (2021 - 2024)
Company Filing History:
Years Active: 2021-2025
Title: Ye Hu: Innovator in Disease Detection and Monitoring
Introduction
Ye Hu is a prominent inventor based in Scottsdale, AZ (US), known for his significant contributions to the field of medical diagnostics. With a total of 6 patents, he has developed innovative methods for detecting disease-specific biomarkers and enhancing cancer detection techniques.
Latest Patents
One of Ye Hu's latest patents focuses on the detection of antigens. This patent provides methods for detecting and identifying disease-specific biomarkers, such as target antigens associated with infection. Another notable patent is the nanoplasmonic quantification of tumor-derived extracellular vesicles in plasma microsamples for detection and treatment monitoring. This rapid, ultrasensitive, and inexpensive nanoplasmon-enhanced scattering (nPES) assay quantifies tumor-derived extracellular vesicles (EVs) from as little as 1 μm of plasma. The assay utilizes the binding of gold nanospheres and nanorods with EV- and tumor-derived EV-specificities to produce a local plasmon effect, enhancing detection sensitivity and specificity. This nPES approach is a non-invasive method for assessing pancreatic cancer stage and treatment response, which can be easily refined for clinical use and adapted for diagnosing and monitoring other conditions with disease-specific EV proteins.
Career Highlights
Ye Hu has worked with notable institutions, including Arizona State University and The Methodist Hospital. His work has significantly impacted the field of medical diagnostics, particularly in cancer detection and monitoring.
Collaborations
Ye Hu has collaborated with talented individuals such as Dali Sun and Jia Fan, contributing to advancements in his research and innovations.
Conclusion
Ye Hu's innovative work in disease detection and monitoring showcases his commitment to improving medical diagnostics. His patents reflect a deep understanding of the complexities of disease biomarkers and the potential for non-invasive testing methods.