System and Method for Automated Ovarian Follicular Monitoring
Invention type: Technology
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Case number: #19173PJ
Methods and products for automated real-time ovarian follicular detection, monitoring and analysis are provided. The devices and methods allow for remote or local analysis, while minimizing or eliminating the need for technician review of the output images. The methods are useful in human and non-human subjects including companion animals and other animals such as endangered species.
Researchers
Emery Brown
/ Rose Faghih
/ Aaron Styer
Departments: Department of Brain and Cognitive Sciences
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Biotechnology: Biomedical Devices & Systems, Sensors & Monitoring / Communication Systems: Wireless / Computer Science: Bioinformatics
Impact Areas: Healthy Living
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system and method for automated ovarian follicular monitoring
United States of America | Granted | 11,622,744
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