Congratulations | Xu Ruoyan, an undergraduate student from the 2021 cohort of the Institute of Medical Technology, has been awarded the 2024

Release Date: Dec. 19, 2024

Views

Recently, the Beijing Natural Science Foundation Committee released a notification regarding the proposed funding for the 2024 Beijing Natural Science Foundation "Qiyan" Program for undergraduates. Xu Ruoyan, a 2021 undergraduate student from the Institute of Medical Technology, has been awarded funding for her project titled "Intelligent Diagnosis, Staging, and Classification of Alzheimer's Disease Based on Multimodal Imaging." The project is supervised by Researcher Xie Zhaoheng from the Institute of Medical Technology, with other participants including 2021 undergraduate student Wang Jiajun and Assistant Researcher Gao Yajun from the Department of Radiology, Peking University Third Hospital.

Project Overview

Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by the decline of memory and higher cognitive functions. With the intensification of population aging in China, AD has posed a significant impact on both patients and society. This project utilizes multimodal imaging technologies such as PET, CT, and MRI, and plans to include over 300 cases of structural and molecular biomarker images (Aβ, tau protein, glucose metabolism). By performing high-precision image registration, segmentation, and feature extraction, the project aims to identify imaging features at different AD stages under the ATN framework and to construct a data-driven classification model for intelligent staging and subtyping of AD.The innovations of the project include: 1)proposing a novel cross-modal image registration algorithm to improve the accuracy of image alignment across different modalities and time points; 2)developing a nonlinear method for dimensionality reduction and selection of extracted features to optimize machine learning model performance; 3)integrating multi-organ metabolic information obtained from whole-body PET/CT images and introducing SHAP values to quantify the influence of different biomarkers on the classification model’s decisions, thereby exploring systemic metabolic changes in AD patients.This project is expected to provide more accurate tools for AD diagnosis and staging, and to support precision diagnosis and treatment of major brain disorders.

Technical route of the project

Applicant Profile

An undergraduate student enrolled at Peking University in 2021, joined Professor Xie Zhaoheng’s research group at the Institute of Medical Technology, Peking University in July 2023 as a research intern. Recipient of the Beijing Municipal Merit Student Award, Peking University Merit Student Award, Eisai (China) Pharmaceutical Scholarship, and the Undergraduate “Qiyan” Program funding from the Beijing Natural Science Foundation.

Introduction to the "Qiyan" Program

The Beijing Natural Science Foundation Committee established the “Qiyan” Program in 2023, aiming to cultivate a group of outstanding young academic talents with the potential to enter the forefront of global science and technology. The program provides early-stage basic research project support to exceptional full-time senior undergraduate students in higher education institutions, fostering their passion for scientific research, independent research thinking, critical spirit of questioning, innovative exploration spirit, and the will to break new ground and create. It aims to provide a continuous source of talent for building a high-quality basic research workforce.

Share to

https://imt.bjmu.edu.cn/rdxw/08961178c5484652a917852986fb4129.htm