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2 out of 12 Years Active: 2015-2023
Title: Hao-Min Cheng: Innovator in Disease Prediction Technologies
Introduction
Hao-Min Cheng is a notable inventor based in Taipei, Taiwan, recognized for his significant contributions to the fields of medical technology and biotech innovations. With a portfolio of five patents, Cheng has developed advanced methods and devices that enhance disease prediction and classification, demonstrating his expertise and dedication to improving health outcomes.
Latest Patents
Cheng's latest innovations include the "Feature Identifying Method and Electronic Device" and the "Disease Classification Method and Disease Classification Device." The feature identifying method involves obtaining a variety of physiological information from subjects at different times, converting this data into correlation features, and developing risk prediction models to identify features indicative of specific diseases. The disease classification device employs a multi-stage approach to determine positive or negative samples through high specificity and high sensitivity models. This structured method helps streamline the process of disease diagnosis, potentially leading to timely and accurate treatment.
Career Highlights
Cheng has held significant positions at notable organizations including Acer Inc. and National Yang-Ming University. His work at these institutions has allowed him to blend his engineering skills with health technology, contributing to innovative solutions that address pressing health challenges.
Collaborations
Throughout his career, Hao-Min Cheng has collaborated with esteemed colleagues such as Chen-Huan Chen and Chun-Hsien Li. These partnerships have fostered an environment of innovation, enabling the development of cutting-edge technologies that have the potential to transform disease prediction and classification.
Conclusion
Hao-Min Cheng stands out as a pioneering inventor in Taipei, contributing valuable advancements in medical technology. His extensive research and innovative patents reflect his commitment to enhancing healthcare through technology. As he continues to work toward improving disease diagnosis, his impact on the field is expected to grow, inspiring future innovations.