# of Displayed Technologies: 10 / 22

Applied Category Filter (Click To Remove): Artificial Intelligence & Machine Learning


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Machine Learning Aided Concentration Prediction of Organic Compounds in the Sea Surface Microlayer by Vibrational Spectroscopic Methods
TS-064832 — The Need: The chemical composition of the sea surface microlayer (SSML) plays a crucial role in various environmental processes, impacting atmospheric chemistry and oceanic dynamics. However, traditional analytical methods struggle to efficiently characterize the complex and variable composition of …
  • College: College of Arts & Sciences
  • Inventors: Allen, Heather; Enders, Abigail; North, Nicole
  • Licensing Officer: Willson, Christopher

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

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

An information extraction, enrichment, and caching framework for augmented reality applications
TS-063109 — The Need In the age of augmented reality (AR), there's a growing opportunity for a comprehensive solution that facilitates the seamless exploration of real-world data through camera-based AR applications. These applications require the ability to extract, cache, and enrich information, enhancin…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Burley, Codi; Sarkhel, Ritesh "Ritesh"
  • 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

Auditing Fairness Online through Interactive Refinement
TS-063038 — The Need In the era of machine learning, high-stakes decisions are increasingly being made by black box models, leading to concerns about accountability and fairness. These models can exhibit inherent biases, raising the need for a system that ensures accountability and fairness in decision-making …
  • College: College of Engineering (COE)
  • Inventors: Maneriker, Pranav; Burley, Codi; Parthasarathy, Srinivasan
  • Licensing Officer: Hampton, Andrew

Method and system for generating data-enriching augmented reality applications from a domain-specific language
TS-063032 — The Need In the age of augmented reality (AR), there's a growing opportunity for a comprehensive solution that facilitates the seamless exploration of real-world data through camera-based AR applications. These applications require the ability to extract, cache, and enrich information, enhancin…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Burley, Codi; Sarkhel, Ritesh "Ritesh"
  • Licensing Officer: Hampton, Andrew

Novel Deep Learning Model for Reconnaissance of Infrastructure on Drones
TS-063007 — The Need In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …
  • College: College of Engineering (COE)
  • Inventors: Shafieezadeh, Abdollah; Bagheri Jeddi, Ashkan
  • 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: Schultz, Teri

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