Company Filing History:
Years Active: 2024
Title: Innovations by Yuqi Chen in Tumor Mutation Prediction
Introduction
Yuqi Chen is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of medical technology, particularly in the area of cancer research. With a total of 2 patents, his work focuses on innovative methods for predicting tumor mutation burden in breast cancer.
Latest Patents
One of Yuqi Chen's latest patents is a method and system for predicting tumor mutation burden (TMB) in triple negative breast cancer (TNBC) based on nuclear scores and histopathological whole slide images (WSIs). This method involves screening histopathological WSIs of TNBC, calculating TMB values for each patient, and classifying these values into high and low groups. The process includes dividing the WSIs into patches, selecting patches with high nuclear scores, and utilizing a convolutional neural network (CNN) for classification. This innovative approach aims to enhance the accuracy of TMB predictions in TNBC patients.
Another notable patent is an end-to-end attention pooling-based classification method for histopathology images. This method improves classification outcomes for small sample sizes by processing histopathology images into patches, training a deep learning network, and employing an attention pooling module. The systematic approach allows for effective classification of histopathological images, contributing to advancements in medical diagnostics.
Career Highlights
Yuqi Chen is affiliated with Wuhan University, where he continues to engage in groundbreaking research. His work not only showcases his expertise in deep learning and medical imaging but also reflects his commitment to improving cancer treatment methodologies.
Collaborations
Yuqi Chen collaborates with esteemed colleagues such as Juan Liu and Jing Feng. Their combined efforts in research and innovation further enhance the impact of their work in the medical field.
Conclusion
Yuqi Chen's contributions to cancer research through his innovative patents demonstrate his dedication to advancing medical technology. His work has the potential to significantly improve patient outcomes in the fight against breast cancer.