Available Technologies
# of Displayed Technologies: 3 / 3
Applied Category Filter (Click To Remove): Diagnostics
An AI Solution for Mobile Stroke Detection for TeleMedicine, Hospital and Paramedic Use
TS-060782 — Problem Statement:
Diagnosis of arterial occlusion and an associated stroke can be lengthy, delaying patient access to treatment. As large vessel occlusions account for 24 to 46% of acute ischemic strokes and may require treatment in a comprehensive stroke center, early diagnosis is key.
Solution:…
- College: College of Engineering (COE)
- Inventors: Yilmaz, Alper; Gulati, Deepak Kumar
- Licensing Officer: Hampton, Andrew
Metabolite-Based Diagnostics for Joint Infection
TS-059537 — An untargeted NMR-based metabolomics approach to identify metabolic compounds as signatures of bacterial joint infections and methods for the treatment and prevention thereof.
Pseudomonas aeruginosa, a biofilm-producing pathogenic bacterium, exhibits resistance to many antibiotics. This leads to acute and chronic joint infections that are difficult to treat. Accordingly, a critical need exists for accurate biofilm diagnosis, prevention, and treatment. While culture-free…
- College: College of Medicine (COM)
- Inventors: Stoodley, Paul; Bruschweiler, Rafael; Leggett, Abigail
- Licensing Officer: Hampton, Andrew
Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
- College: College of Medicine (COM)
- Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
- Licensing Officer: Hampton, Andrew
