System and method for prediction of artificial intelligence model generalizability for unseen data
TS-075229 — Problem
Artificial intelligence models often perform well during development but show unpredictable drops in accuracy and reliability when deployed on data that differ from their training sets. In high‑risk settings such as clinical care, these shifts can arise from changes in hardware, protocols…
- College: College
of
Medicine
(COM)
- Inventors: Dikici, Engin; Nguyen, Xuan; Prevedello, Luciano
- Licensing Officer: Hampton, Andrew
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
Force Plate Surface Calibration Device
TS-063194 — The Need
In the medical and healthcare arena, force plate technology is frequently relied upon for evaluating a patient’s ability to meet normal human standards when performing different physical activities and determining the presence of limitations in mechanistic-type behaviors due to age, …
- College: College
of
Medicine
(COM)
- Inventors: Onate, James; Caccese, Jaclyn; Edwards, Nathan; Hagen, Joshua; Kang, Yun Seok
- Licensing Officer: Hampton, Andrew
Method for Prediction of Artificial Intelligence Model Generalizability for Unseen Data
TS-063039 — Medical-based AI systems have seen increased use in recent years across a range of applications (e.g., diagnostics, prognostics, treatment response prediction). Their widespread adoption by the medical community is still restricted, primarily due to their limited ability to realize a high degree of …
- College: College
of
Medicine
(COM)
- Inventors: Dikici, Engin; Nguyen, Xuan; Prevedello, Luciano
- Licensing Officer: Hampton, Andrew
Transforming PAH Management with PHORA: Empowering Physicians for Better Patient Care
TS-062764 — The Pulmonary Hypertension Outcomes Risk Assessment (PHORA): a PAH risk stratification tool.
Pulmonary Arterial Hypertension (PAH) demands precise risk stratification for effective patient management. Clinical decision support tools can help inform treatment decisions made by physicians and other healthcare providers, usually at the point of care.
The Need
Current methods for assistin…
- College: College
of
Medicine
(COM)
- Inventors: Benza, Ray; Lin, Shili; Mathur, Puneet
- Licensing Officer: Hampton, Andrew
AI-Enabled Retrosynthesis for Drug Development
TS-060092 — AI methods and systems for predicting reactants and their synthesis paths to support drug design and chemical synthesis.
A time-consuming and costly step in drug development is the identification of drug-like small molecules that display desired properties against a specific biomolecular target and then the synthesis of such molecules if they do not exist. Retrosynthesis is a procedure where such a desired molecule i…
- College: College
of
Medicine
(COM)
- Inventors: Ning, Xia; Chen, Ziqi
- Licensing Officer: Hampton, Andrew
SimPi: A Remote Power Platform for Simulation
TS-059056 — A platform for improving simulations across many industries.
Developing real-life simulations
of disasters is vital for safety and reducing their financial impact; however, current simulation tools are bulky, expensive to implement, and require advanced technical skills to operate.
Simulations are essential for evaluating the potential impacts of disasters and for creating effective preparedness and response plans to facilitate organized and coordinated actions. Since response plans are not theoretical exercises, they must frequently be tested to be evaluated, adapted, and u…
- College: College
of
Medicine
(COM)
- Inventors: Winfield, Scott; Beck, James; Finnegan, Geoff
- Licensing Officer: Hampton, Andrew
Show More Technologies
