Company Filing History:
Years Active: 2025
Title: Ning Yu - Innovator in Patient Health Monitoring
Introduction
Ning Yu is a prominent inventor based in Columbia Heights, MN (US), known for her contributions to the field of medical technology. With a focus on patient health monitoring, she has developed innovative systems that leverage glucose data to detect changes in patient health. Her work is particularly significant in the context of diabetes management and cardiovascular risk assessment.
Latest Patents
Ning Yu holds a patent for her invention titled "Detection of changes in patient health based on glucose data." This patent outlines a medical system that includes processing circuitry connected to a glucose sensor. The system is designed to generate continuous glucose sensor measurements of a patient. It extracts features from these measurements over time, such as the duration within a predetermined glucose level range and the frequency of hypoglycemia and hyperglycemia events. By applying a machine learning model to these features, the system can produce data indicative of the risk of a cardiovascular event, ultimately generating output data based on this risk.
Career Highlights
Ning Yu is currently employed at Medtronic, Inc., a leading company in medical technology. Her role involves the development of advanced systems that enhance patient care through innovative monitoring solutions. With her expertise, she contributes to the ongoing evolution of healthcare technology, aiming to improve patient outcomes.
Collaborations
Ning collaborates with talented professionals in her field, including Kamal Deep Mothilal and Michael D Eggen. These collaborations foster an environment of innovation and creativity, allowing for the development of cutting-edge medical solutions.
Conclusion
Ning Yu's work exemplifies the intersection of technology and healthcare, showcasing how innovations in glucose monitoring can lead to significant advancements in patient health management. Her contributions are paving the way for improved medical systems that can better predict and manage health risks.