Hangzhou, China

Chengkai Wu


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2023

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Chengkai Wu: Innovator in Chronic Disease Prognostics

Introduction

Chengkai Wu is a notable inventor based in Hangzhou, China. He has made significant contributions to the field of medical technology, particularly in the area of chronic disease prognostics. His innovative approach combines advanced data processing techniques with predictive modeling to enhance healthcare outcomes.

Latest Patents

Chengkai Wu holds a patent for a system designed for the prognostics of chronic diseases following medical examinations. This system utilizes multi-label learning to analyze physical examination data. It comprises several modules, including a data acquisition module, a data preprocessing module, a basic predicting model constructing module, and a local predicting module. The data acquisition module collects physical examination data from users, while the basic predicting model constructing module develops a multi-label learning model tailored for physical examination scenarios. The local predicting module features a local model training unit that refines the basic model into a local predicting model, which ultimately outputs a prognostic index for multiple chronic diseases and estimates their future occurrence.

Career Highlights

Chengkai Wu is currently affiliated with Zhejiang Lab, where he continues to advance his research and development efforts. His work focuses on integrating machine learning techniques into healthcare applications, aiming to improve the accuracy and efficiency of disease prognostics.

Collaborations

Chengkai Wu collaborates with esteemed colleagues, including Jingsong Li and Tianshu Zhou. Their combined expertise fosters a dynamic research environment that drives innovation in medical technology.

Conclusion

Chengkai Wu's contributions to chronic disease prognostics exemplify the intersection of technology and healthcare. His innovative patent and collaborative efforts position him as a key figure in advancing medical predictive systems.

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