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Wearable Coils for Monitoring Human Body Kinematics
TS-067943 — Monitoring human physiological functions and performance during real-time activities is becoming increasingly popular in sporting and healthcare environments. Many studies now suggest that the quantitative evaluation of kinetic parameters, joint range of motion, heart rate, and breathing rate can be…
  • College: College of Engineering (COE)
  • Inventors: Kiourti, Asimina; Mishra, Vigyanshu
  • Licensing Officer: Randhawa, Davinder

Optimal and Pure Leaf Classification Trees for Machine Learning (ML) Decision-Making
TS-067550 — A method to improve the performance and accuracy of ML-based decision trees.
Decision trees are popular machine learning (ML) methods used in classification and regression problems, and they have numerous applications in the real world. Various industries use decision trees to help decide strategies, investments, and operations. In addition, they are used in healthcare to he…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
  • Licensing Officer: Zinn, Ryan

Dust Analysis: A Novel Approach to Monitoring Viral Spread
TS-066962 — The Need Viral disease surveillance (e.g. influenza, SARS-CoV-2) in high-risk settings faces several challenges, such as asymptomatic carriers, incomplete reporting, resource limitations, and delayed diagnosis of traditional swab test methods. These challenges could allow a virus to silently spread…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Faith, Seth; Hull, Natalie; Nastasi, Nick; Renninger, Nicole
  • Licensing Officer: Ashouripashaki, Mandana

Color Correction System for Accurate Colorimetric Smartphone Measurements
TS-066957 — The Need Colorimetric tests and remote image analysis are used in a wide range of industrial and medical applications. Digital image-based measurements made with smartphones are a promising platform to quantify colors at low cost, but suffer from inconsistency and errors caused by lens quality, sen…
  • College: College of Engineering (COE)
  • Inventors: Dannemiller, Karen; Panescu, Jenny; Qin, Rongjun; Song, Shuang; Zhang, Guixiang
  • Licensing Officer: Ashouripashaki, Mandana

IDEAS: Revolutionizing Early Childhood Education with Automated Interaction Analysis
TS-065825 — The Need: In early childhood education settings, understanding children's interactions, both social and linguistic, is paramount for effective teaching and development monitoring. However, manual observation and analysis of these interactions can be time-consuming and subjective, hindering educa…
  • College: College of Education & Human Ecology
  • Inventors: Gonzalez Villasanti, Hugo "Hugo"; Justice, Laura
  • Licensing Officer: Dahlman, Jason "Jay"

IR Precision: Revolutionizing Colorectal Cancer Metastasis Diagnosis with the CCML Library
TS-064834 — The Need: Colorectal cancer remains a significant global health challenge, particularly when it metastasizes to the liver. Accurate and rapid diagnosis of metastatic liver lesions is crucial for effective treatment planning and patient outcomes. Traditional diagnostic methods often lack the specific…
  • College: College of Arts & Sciences
  • Inventors: Coe, James; Allen, Heather; Bradley, Rebecca; Hitchcock, Charles; Martin, Edward
  • Licensing Officer: Dahlman, Jason "Jay"

Decision Support Tool for Prevention of Failure to Rescue Events
TS-064718 — A clinical decision support tool for minimizing failure to rescue events at hospitals.
Failure to rescue (FTR) is a serious issue in patient safety and healthcare quality for hospitalized patients. The term implies that rescue is possible, and death is, therefore, a failure. On any given day across the country, two-thirds of deaths in hospitals could be judged as preventable. In 2005,…
  • College: OSU Wexner Medical Center
  • Inventors: Garvey, Paula; Justice, Stephanie
  • Licensing Officer: Schultz, Teri

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

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