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Novel spectroscopic sensor for screening nutritional and quality traits of field crops
TS-046751 — A novel sensor for the screening of field crops, one example being the amino acids in soybeans. This allows the quality and nutritional value of the soybeans to be evaluated quickly and simply. This technology would benefit not only farmers and producers of soybeans and soy products, but also consumers by manufactures to know the quality of the ingredients received to be monitored.
Nutritional components of soybeans, specifically their amino acid profiles, are important when evaluating the quality of soybeans. Currently, the only methods for evaluating soybean nutritional traits are to either send samples to a lab for testing, which is costly and takes several weeks to compl…
  • College: College of Food, Agricultural, and Environmental Sciences (CFAES)
  • Inventors: Rodriguez-Saona, Luis; Ball, Christopher; Krishna, Sanjay; Ronningen, Theodore; Sia, Amanda
  • Licensing Officer: Flammang, Ann Marie

Louie: An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
TS-043077 — An Augmented Reality Sensory Trigger Wayfinding System for People with Autism
Millions of people on the Autism spectrum face challenges getting from place to place due to sensory sensitivities to sounds, sights, smells, tastes, physical feelings, and crowds. Due to these triggers, people with Autism have a strong need to know where they are going and what will be there so t…
  • College: College of Engineering (COE)
  • Inventors: Ezell, Jonathan; Kaufman, Robert; Kaufman, Michael
  • Licensing Officer: Aanstoos, Megan

Closed Loop Particle Forecasting Platform for Decision Support and System Prognostics.
TS-042531 — A computational platform for forecasting the state of evolving systems and processes.
Particle methods are a class of computational algorithms used to estimate potential outcomes of a system or process. Although popular for their simplicity and scalability, the use of fixed sized "particle ensembles" renders the simulations unable to provide performance guarantees in quan…
  • College: College of Engineering (COE)
  • Inventors: Kumar, Mrinal "Mrinal"; Yang, Chao "Chao"
  • Licensing Officer: Zinn, Ryan

DAtAnchor: A Multi-Layer Data Loss Mitigation System
TS-041846 — An alternative to traditional data security measures. The technology effectively "anchors" the information to one location, allowing for better security and making it harder to compromise access.
Data breaches are a looming risk for organizations that maintain significant repositories of sensitive data. The fundamental reason behind their inability to prevent them is the philosophy behind the current paradigm in data security: prevent all breaches at all times. Towards that end, existing a…
  • College: College of Engineering (COE)
  • Inventors: Koksal, C. Emre
  • Licensing Officer: Hong, Dongsung

Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
  • College: College of Engineering (COE)
  • Inventors: Allen, Theodore; Hou, Chengjun
  • Licensing Officer: Zinn, Ryan

Virtual image generation of immunohistochemical stained tissue sections using an artificial neural network
TS-039781 — Realistic immunohistochemical stained tissue section databases for training, certification, and machine standards.
Immunohistochemistry (IHC) is used to determine antigen distribution in a tissue and is widely used for diagnosis of cancers and other diseases. Diagnostic and research laboratories in the United States use locally devised IHC tissue slide preparation and scanning protocols to check scanner perfor…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Lozanski, Gerard; Senaras, Caglar
  • Licensing Officer: Norris, Francis "Frank"

Sampling Method for Big Data Join Queries
TS-039364 — Tables of information are related using JOIN operators, a particular data point from table A is related with a data point from table B. This connectivity is a fundamental part of data analysis, allowing the user to run statistical analysis to find trends. When using large data sets too much inform…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Kamat, Niranjan
  • Licensing Officer: Hong, Dongsung

ICARUS: Interactive Cleaning and Rule System
TS-039363 — User friendly database validation software
Data sets are booming larger and more complex, in order to use big data ideas all the data must be stored in an organized manner. Data cleaning is the process of removing corrupted records from a set of data, with the problematic data being updated or removed. Data validation is the process of con…
  • College: College of Engineering (COE)
  • Inventors: Nandi, Arnab; Hebert, Courtney; Rahman, Protiva
  • Licensing Officer: Hong, Dongsung

Automated Detection of Tumor Budding in Colorectal Cancer
TS-039267 — A non-invasive and automated tumor budding image analysis system for colorectal cancer. This program can detect tumor buds in traditional H&E stained sections without the need for manual assessment.
Colorectal cancer is the third most commonly diagnosed cancer in the United States. With a survival rate of less than 65%, early detection and treatment are key factors in survival. Tumor budding, associated with higher tumor stage, lymph node metastasis, and decreased disease-free survival, has e…
  • College: College of Medicine (COM)
  • Inventors: Gurcan, Metin; Ahmad Fauzi, Mohammad Faizal; Chen, Wei "Wei"; Frankel, Wendy
  • Licensing Officer: Norris, Francis "Frank"

Productivity model for Advanced Practice Providers
TS-038991 — A new, well-rounded system of measuring APP productivity
Physician assistants (PAs) and nurse practitioners (NPs) are referred to as advanced practice providers (APPs). They are certified health care professionals who provide care and treatment to patients in collaboration with physicians. Although they are an integral part of many clinics and hospitals…
  • College: OSU Wexner Medical Center
  • Inventors: Rosselet, Robin; Cackler, Scott
  • Licensing Officer: Flammang, Ann Marie

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