Company Filing History:
Years Active: 2024-2025
Title: Innovations by Naiqian Zhi in Health Technology
Introduction
Naiqian Zhi is an accomplished inventor based in Hartford, CT (US). He has made significant contributions to the field of health technology, particularly through his innovative use of wearable devices. With a total of 2 patents, Zhi is at the forefront of developing systems that enhance health outcomes through advanced data analysis.
Latest Patents
Zhi's latest patents include groundbreaking systems and methods for predicting health outcomes. One patent focuses on predicting short-term health outcomes using data collected from wearable devices such as activity trackers or smartwatches. This system employs Artificial Intelligence (AI) algorithms to process monitored parameter data and health records. A random forest model classifies users based on this data, allowing for the assignment of health index values that can inform various health-related operations.
Another notable patent is a machine learning framework designed for the detection of chronic health conditions. This system utilizes deep learning algorithms to analyze data from wearable devices, along with additional embedding data from health records. The output provides predictions regarding the likelihood of underlying health conditions, enabling timely notifications to users or their primary care providers.
Career Highlights
Naiqian Zhi is currently employed at Aetna Inc., where he continues to innovate in the health technology sector. His work focuses on leveraging data from wearable devices to improve health outcomes and enhance user engagement with their health data.
Collaborations
Zhi collaborates with talented individuals such as Sarah Wohlman and Alex Xu, contributing to a dynamic team that drives innovation in health technology.
Conclusion
Naiqian Zhi's contributions to health technology through his patents demonstrate his commitment to improving health outcomes using wearable devices. His innovative approaches are paving the way for advancements in the detection and prediction of health conditions.