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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: Norris, Francis "Frank"

At-Home Digital Platform for Scoring Skin Disease
TS-038429 — An automated image analysis system for the recognition and quantification of skin disease
Acne and rosacea are skin diseases that affect around 85% of individuals, the former being the most common skin condition afflicting up to 50 million people. There is no gold standard for evaluation of these skin diseases, and their treatment efficacy is generally determined according to a poorly …
  • College: College of Medicine (COM)
  • Inventors: Kaffenberger, Benjamin; Gurcan, Metin
  • Licensing Officer: He, Panqing

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