This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Sanofi. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Hsiaohui Wu: Innovator in Predictive Healthcare Technology
Introduction
Hsiaohui Wu is a notable inventor based in Ringoes, NJ (US). He has made significant contributions to the field of healthcare technology, particularly in the area of diabetes management. His innovative work focuses on utilizing machine learning to predict hypoglycemic events in patients.
Latest Patents
Hsiaohui Wu holds a patent for a groundbreaking invention titled "Predicting rates of hypoglycemia by a machine learning system." This patent describes systems, methods, and computer products that can predict rates of hypoglycemia in patients diagnosed with diabetes mellitus. The method involves receiving data representing the medical records of a patient and determining a predicted rate of hypoglycemic events using a machine learning system. This system is trained using data from multiple patients and their corresponding rates of hypoglycemic events. Ultimately, the method produces a predicted rate for the individual patient.
Career Highlights
Hsiaohui Wu is currently employed at Sanofi, a global healthcare company dedicated to improving health outcomes. His work at Sanofi emphasizes the integration of advanced technology in patient care, particularly for those living with diabetes. His innovative approach has the potential to enhance the quality of life for many patients by providing timely predictions of hypoglycemic events.
Collaborations
Hsiaohui Wu collaborates with talented professionals in his field, including Francisco Javier Jimenez Jimenez and Fang Zhou. These collaborations foster an environment of innovation and shared expertise, contributing to the advancement of healthcare technology.
Conclusion
Hsiaohui Wu's contributions to predictive healthcare technology exemplify the impact of innovation in improving patient outcomes. His work in developing machine learning systems for predicting hypoglycemia is a testament to the potential of technology in transforming healthcare practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
