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
Hybrid Collaborative Filtering Methods for Recommending Search Terms to Clinicians
TS-063237 — Electronic Health Records (EHR) are used in over 88% of all US medical clinics to improve care and streamline data. In addition, they enable sharing of data to multiple providers dealing with the same patient, thereby enhancing efficiency and care.
The Need
In the last decade, medical practices…
- College: College
of
Medicine
(COM)
- Inventors: Ning, Xia; Peng, Bo; Ren, Zhiyun
- Licensing Officer: Hampton, Andrew
Patient Access Prioritization Score
TS-063212 — When a patient demonstrates signs of imminent clinical deterioration, it is essential to immediately assess and treat the patient to prevent intensive care unit transfer, cardiac arrest, or death. These tasks often include transferring the patient to other facilities with optimal capabilities.
T…
- College: College
of
Medicine
(COM)
- Inventors: Reinbolt, Raquel; Cohn, David
- Licensing Officer: Hampton, Andrew
3D Clinical Image-based Pre-surgical planning Tool
TS-053757 —
Modernity has brought with it increased complexity in many areas of our lives, an important one being the healthcare industry. Surgical procedures require increased precision while employing intricate methods. With approximately 20 million surgeries performed each year in the United States alone, …
- College: College
of
Medicine
(COM)
- Inventors: Powell, Kimerly; Adunka, Oliver; Hittle, Bradley; Keith, Jason; Kerwin, Thomas "Thomas"; Stredney, Donald; Wiet, Gregory
- Licensing Officer: Randhawa, Davinder
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: Hampton, Andrew
Family HealthLink: A Health Risk Assessment Tool
TS-037825 — An online interactive tool that helps a patients and physicians assess a likelihood
of cancer or heart disease, based on family history.
Physician documentation of family history in the EPIC® EMR for breast and ovarian cancer has been a common practice for many years, but documentation and assessment for other cancer types (and extended family history) have remained sparse and incomplete (Sweet, Sturm et al. 2015). In addition …
- College: College
of
Medicine
(COM)
- Inventors: Sweet, Kevin; Newman, David "David"; Sturm, Amy; Westman, Judith "Judy"
- Licensing Officer: Taysavang, Panya