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A Regularized Conditional GAN for Posterior Sampling in Inverse Problems
TS-063238 — A novel regularization technique applicable for medical imaging applications that leverages conditional generative adversarial networks (cGANs) to generate reconstructed images in significantly shorter timeframes. The Need Several techniques are used for image reconstruction in the medical aren…
  • College: College of Engineering (COE)
  • Inventors: Bendel, Matthew; Ahmad, Rizwan; Schniter, Philip
  • 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

Convolutional Neural Network to Assess Phayngeal and Laryngeal Pathology and Function on Nasopharyngolaryngoscopy
TS-063154 — Worldwide, 686,000 new head and neck (H&N) cancers are diagnosed yearly, and 375,000 people will die annually. Human papillomavirus (HPV) is responsible for an increasing subset of H&N malignancies called oropharyngeal squamous cell carcinomas (OPSCC). Although it has a better prognosis than…
  • College: College of Engineering (COE)
  • Inventors: Krening, Samantha; Gifford, Ryan; Jhawar, Sachin; VanKoevering, Kyle
  • 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

Fresh Caching of Dynamic Content: Algorithm and Implementation
TS-063024 — The Need In today's data-driven world, efficient caching of dynamic content is crucial for delivering timely and responsive services. Conventional caching methods struggle to adapt to frequent updates in the back-end database, leading to suboptimal system costs and decreased user satisfaction. …
  • College: College of Engineering (COE)
  • Inventors: Abolhassani, Bahman; Eryilmaz, Atilla
  • 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

Pheno - A modern, multi-faceted, data-driven technology platform for addressing low back and neck pain
TS-052847 — Back and neck pain is one of the world’s biggest health problems, and one which most people will experience during some stage in their lives. An estimated 80% of people will face this issue, although the severity of the pain may differ. Approximately 50 billion USD are spent by Americans eac…
  • College: College of Engineering (COE)
  • Inventors: Marras, William; Aurand, Alexander "Alex"; Dufour, Jonathan; Knapik, Gregory; Prasath, Prasath Mageswaran
  • Licensing Officer: Hampton, Andrew

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