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Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
  • Licensing Officer: Norris, Francis "Frank"

Pulse of the OR: Reducing Operating Room Traffic for Patient Safety and Quality Initiatives
TS-039735 — A method of measuring traffic flow in an operating room to reduce contamination and ensure air quality.
Surgical site infections (SSI) can affect all surgical specialties and are an significant cause of long-term morbidity and mortality in the United States. With a rate of 2.8 infections per every 100 operations, these occurrences can lengthen hospital stays, double readmission rates, and can cost b…
  • College: College of Medicine (COM)
  • Inventors: Quatman, Carmen; Chaudhari, Ajit
  • Licensing Officer: Flammang, Ann Marie

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"

Efficient Separation of Speech from Background Noises
TS-014903 — A novel training method to separate speech from unwanted background noise.
Separation of speech from background noise is critical to many listening devices. To generalize these devices to new speakers and background noises in classification based speech separation algorithms, the classifiers need to be trained on a large number of acoustic conditions, which is a big chal…
  • College: College of Engineering (COE)
  • Inventors: Wang, Deliang; Wang, Yuxuan
  • Licensing Officer: Wohlgamuth, Christopher
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