A novel machine learning model for prediction of ICI responsive patients based on ICI pharmacokinetics
TS-075183 — Problem
Current eligibility biomarkers for Immune checkpoint inhibitors (ICIs) poorly predict patient’s response. Drug clearance, both at baseline and over time, is a stronger predictor of ICI effectiveness, however the current non-linear mixed effects modeling (NLME) approach for estimating …
- College: College of Pharmacy (COP)
- Inventors: Phelps, Mitchell "Mitch"; Adeluola, Adeoluwa; Coss, Christopher; Kim, Kyeongmin; Mo, Xiaokui "Molly"; Owen, Dwight
- 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
Flexible Light-Addressable Sensor for High-Resolution Physiological Mapping
TS-072319 — The Need
Current methods for mapping electrical potential gradients in biological tissues, such as the brain, rely on high-density electrode arrays fabricated via costly microfabrication techniques. These rigid devices struggle to conform to complex tissue morphologies, limiting their effectiveness …
- College: College of Engineering (COE)
- Inventors: Li, Jinghua; Chen, Shulin; Jia, Yizhen; Liu, Tzu Li; Wang, Qi
- Licensing Officer: Ashouripashaki, Mandana
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 "Ted"; Arrey, Evelyn; Booth, Matthew; Liu, Enhao; Mashayekhi, Medhi
- Licensing Officer: Giles, David
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
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: Bhatti, Hamid
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 "Phil"
- Licensing Officer: Hampton, Andrew
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