Available Technologies
# of Displayed Technologies: 4 / 4
Applied Category Filter (Click To Remove): Software
Thermotropic liquid crystal-based sensors for naked-eye detection of SARS-CoV-2 with ultrahigh sensitivity and selectivity
TS-063069 —
In the wake of the global pandemic caused by SARS-CoV-2, the need for rapid, accurate, and efficient diagnostic methods for respiratory viral infections has become more critical than ever. Traditional diagnostic methods, while reliable, are often time-consuming, labor-intensive, and lack the neces…
- College: College of Engineering (COE)
- Inventors: Wang, Xiaoguang; Qin, Rongjun; Rather, Adil; Xu, Yang
- Licensing Officer: Randhawa, Davinder
Method for Prediction of Artificial Intelligence Model Generalizability for Unseen Data
TS-063039 — Medical-based AI systems have seen increased use in recent years across a range of applications (e.g., diagnostics, prognostics, treatment response prediction). Their widespread adoption by the medical community is still restricted, primarily due to their limited ability to realize a high degree of …
- College: College of Medicine (COM)
- Inventors: Dikici, Engin; Nguyen, Xuan; Prevedello, Luciano
- Licensing Officer: Hampton, Andrew
Visual Function Mapping Technology: Enhancing Vision Care and Diagnostics
TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…
- College: College of Arts & Sciences
- Inventors: Lu, Zhong-Lin; Lesmes, Luis; Xu, Pengjing "PJ"; Yu, Deyue
- Licensing Officer: Dahlman, Jason "Jay"
A Model Based Assessment Approach and an Automation Environment for Qualification of Embedded Digital Devices
TS-042856 — A Framework and Automatization process designed to determine the functionality of Embedded Digital Devices.
As our technology becomes increasingly complex, so does the quantity and variation of the Embedded Digital Device [EDD] components that are required within the project. Because not every device is made perfectly to specifications due to a propagation of random error, it is important to have a dive…
- College: College of Engineering (COE)
- Inventors: Smidts, Carol; Diao, Xiaoxu; Li, Boyuan
- Licensing Officer: Hampton, Andrew
