Xidian Meeting Xidian Guide About Help Search Home Login Control Panel AddBookMark 's MessageBoard
Profile

Prof. Yonghua Zhan

Xidian University

Biomedicine and Imaging

(BI)

Office Address: G404, New Campus, Xidian University

Email: yhzhan@xidian.edu.cn

Introduction

Yonghua Zhan, obtained PhD in Biomedical Engineering from Xi\'an Jiaotong University in 2010, and was a visiting scholar at the University of Wisconsin-Madison from 2015 to 2016. At present, he was mainly engaged in the biomedical imaging, nano-biomedicine and deep learning  in clinical application. He has presided over 13 national Natural Fund major instrument sub-projects, National Natural Fund Major Research program (Cultivation program), National Natural Fund Youth Program and other projects, and participated in 5 national Natural Fund major instrument development projects and major Research program of the Ministry of Science and Technology. He has published 59 academic papers in international journals such as ACS Nano, Small, ACS Applied Materials & Interfaces, etc. He has been awarded 8 Invention patents in China and 1 invention patent in the United States. He won the third prize of science and technology in Shaanxi Province in 2016 and the first prize of science and technology in Shaanxi Universities in 2016 and 2018 respectively.


1. Biomolecular Imaging

Molecular imaging is a new subject which combines traditional medical imaging technology with modern molecular biology.Molecular imaging technology can realize the early diagnosis of tumor from the cellular and molecular levels, and has the advantages of non-invasive, real-time, in vivo and precise.Molecular imaging techniques of molecular biology and cell biology probe technology combined with modern instrument, is a blend of biochemistry, nanotechnology, data processing and image processing technology, using the molecular probes to molecules and cells in real-time in living organisms and noninvasive imaging, it has high sensitivity and specificity.Molecular imaging technology has been widely used in anti-tumor research and drug development. From the initial drug screening to the later clinical trials, molecular imaging technology has played an important role, driving the rapid development of various diseases and tumor treatment methods.

      


2. Nano-Biomedicine Carrier

Nanomedicine is the application of the principles of nanoscience and technology to the medical field, using nanotechnology to develop more sensitive and efficient medical diagnostic techniques and effective treatments for diseases and tumors.The wide application of nanotechnology in the field of biology and medicine makes modern medicine have a large space for development, and makes people have a further development in life exploration, disease treatment, health care and other aspects.In the study of biological materials, can be medicine, gene therapy, such as DNA and RNA molecules wrapped in nanoparticles or adsorption on the surface, at the same time can also be decoupling al specific molecular targeting in the surface of particles, such as specific ligands, such as monoclonal antibodies, by targeting specific receptor, molecular and cell surface under the effect of cell uptake into the cells, to achieve a safe and effective targeted drug and gene therapy.Drug delivery systems based on nanotechnology can promote drug dissolution, improve drug absorption, improve drug targeting, and thus improve the effectiveness of treatment.

   


3. Intelligent Diagnosis and Efficacy Evaluation

Radiomics refers to the extraction of a large amount of image information from images (CT, MRI, PET, etc.) with high throughput to achieve tumor segmentation, feature extraction and model establishment.Based on the in-depth mining, prediction and analysis of massive image data to assist doctors to make the most accurate diagnosis, radiomics analysis is mainly used in medical images and quantitative processing.The processing flow of imaging omics is as follows : (1) acquisition of image data; (2) Labeling and segmentation of tumor areas; (3) Extraction and quantification of features; (4) Establishment of the model; (5) Classification and prediction.