# of Displayed Technologies: 5 / 5

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Endothelial Biomarkers for Detecting Neurological Diseases
TS-075259 — More than a billion people worldwide suffer from some form of neurological disorder, such as Alzheimer's (AD), Parkinson's (PD), multiple sclerosis, traumatic brain injury, epilepsy, stroke, or spinal injury. These conditions result in more than 7 million deaths, with associated costs exceed…
  • College: College of Medicine (COM)
  • Inventors: Al Tarawneh, Rawan
  • Licensing Officer: Willson, Christopher

Exosomal proteins as novel biomarkers for early detection of ovarian cancer
TS-075248 — Problem High-grade serous ovarian cancer (HGSOC) accounts for over 75% of all epithelial OC and has a high mortality rate due to a lack of early detection methods. Current biomarkers have low sensitivity and specificity in early-stage disease. There is an urgent need for a more effective diagnosis …
  • College: College of Medicine (COM)
  • Inventors: Karuppaiyah, Selvendiran; Cohn, David
  • Licensing Officer: Taysavang, Panya

EmitGCL: Prediction of Future Metastasis based on Graph Contrastive Learning
TS-075168 — Problem Metastasis is the primary driver of cancer-related deaths, yet accurately predicting its onset is a major clinical challenge. Current diagnostic tools often fail to detect occult metastatic cells and metastatic precursor cells, resulting in either overdiagnosis, with unnecessary treatments,…
  • College: College of Medicine (COM)
  • Inventors: Ma, Qin; Wang, Xiaoying
  • Licensing Officer: Hampton, Andrew

Innovative Biomarker Technology for Detecting and Treating Endothelial Injury in Neurological Disorders
TS-066771 — Endothelial injury is a significant pathological mechanism underlying various neurological disorders, including neurodegenerative, neuroinflammatory, and cerebrovascular diseases. Current clinical and research settings lack reliable biomarkers to detect or measure endothelial injury in the human C…
  • College: College of Medicine (COM)
  • Inventors: Al Tarawneh, Rawan
  • Licensing Officer: Willson, Christopher

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 "DECEASED"; Bruschweiler, Rafael; Leggett, Abigail
  • Licensing Officer: Hampton, Andrew

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