Training Program Highlights

16-Day Intensive Training · Theory & Practice · Cutting-Edge Perspective · Expert Guidance · Free Accommodation & Meals

🎯 Register for the Training Program

We welcome researchers from developing countries to apply for this training program and jointly enhance biomedical AI technical capabilities

！The start time of the course has not yet been finalized. Please pay attention to the latest news on this website or CSTEC.
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Application Deadline: November 1, 2025 | Maximum Number of Participants: 20
Fees: No registeration fee. Free accommodation & meals. Transportation expenses are at your own expense.

🏫 Host Institution

College of Life Sciences, Zhejiang University
Address: 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang Province, China

📅 Training Duration

November 17-December 2, 2025
Total of 16 days intensive training

📍 Training Venue

Zhejiang University & Yuanzheng Qizhen Crystal Hotel, Hangzhou

👥 Target Participants

Researchers in the fields of biology and medicine from developing countries
Maximum Number of Participants: 20

🌍 Working Language

English

Lectures & Hands-on practice

📞 Contact Information

Program Director: Prof. Ming Chen
Contact Person: Dr. Cong Feng
Email: ventson@zju.edu.cn
Phone (WeChat): +8618868106823

Program Introduction

This international training program, supported by the Ministry of Science and Technology of China, is a collaborative initiative to strengthen AI capacity in developing countries, advance biomedical technology exchange, and foster a global health innovation ecosystem. Delivered in English, it focuses on precision medicine at the intersection of bioinformatics and artificial intelligence.

Through a structured curriculum and hands-on practice, participants will acquire core competencies in genomic data analysis, AI model development, and deployment. The program’s objective is to enable participants to conduct independent precision medicine research and accelerate local translation of health technologies.

Training covers foundational bioinformatics, key AI algorithms, representative application cases, and end-to-end system construction and deployment. Instruction combines lectures, case-based exercises, field visits, and project presentations to ensure mastery of both theory and practice.

Ministry of Science and Technology
Technology Exchange Center
Zhejiang University
Zhejiang University Life Sciences Lab

Introduction to Ming Chen's lab

Learn more about the Bioinformatics Laboratory at Zhejiang University →

Lecturer Introduction

Prof. Ming Chen
Leading Lecturer

Prof. Ming Chen

Program Director, Biomedical AI International Training Program

Distinguished professor and leader of the Bioinformatics Discipline at Zhejiang University. PhD in Bioinformatics from Bielefeld University, Germany (2004); extensive experience in scientific research and education with a focus on bioinformatics and systems biology. Author of over 200 academic publications, with more than 14,000 citations on Google Scholar and an H-index of 57. Collaborative publications featured in leading journals including Cell, Nature, and Nature Communications. Chairman of the Zhejiang Bioinformatics Society, with additional roles including Director of the Omics Information and Integrative Biology Professional Committee of the Chinese Bioinformatics Society. Selected in 2023 as the leading expert for the development of core bioinformatics courses under the Ministry of Education's "101 Project" in biological sciences.

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Dr. Dijun Chen
Specialized Lecturer

Dr. Dijun Chen

Associate Professor at the School of Life Sciences, Nanjing University

Dr. Dijun Chen received his PhD from the University of Halle-Wittenberg in Germany. His research focuses on bioinformatics of gene transcription regulation. His expertise in computational biology and gene regulation analysis brings valuable insights to the training program.

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Prof. Chuan Xu
Specialized Lecturer

Prof. Chuan Xu

Associate Professor at Shanghai Jiao Tong University.

Graduated from Zhejiang University, he conducted postdoctoral research at the University of Michigan. His research focuses on the evolutionary significance of gene product diversity and its role in human disease, using a combination of computational and experimental methods.

Dr. Jingjing Wang
Specialized Lecturer

Dr. Jingjing Wang

A researcher at the Liangzhu Laboratory, graduated from Zhejiang University.

Her research focuses on single-cell omics big data integration and complex diseases. She has published numerous papers as first author or co-first author in top-tier journals including Nature, Nature Genetics, and Cell Reports.

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Dr. Peijing Zhang
Specialized Lecturer

Dr. Peijing Zhang

A distinguished researcher at the Obstetrics and Gynecology Hospital, Zhejiang University School of Medicine.

Her research focuses on multi-omics data analysis and deep learning applications. She has published numerous papers as first or co-first author in prestigious journals including Nature Genetics, National Science Review, Nucleic Acids Research, Nature Communications, and Development Cell.

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Dr. Yueming Hu
Specialized Lecturer

Dr. Yueming Hu

Lecturer at Fuyang Normal University, graduated from Zhejiang University.

His research focuses on developing cutting-edge AI algorithms to address critical biomedical problems. He has published numerous papers as first or co-first author in leading journals including Communications Biology, Nucleic Acids Research, and mSystems.

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Training Schedule
Day Topic Teaching Mode Main Content
Day 1 Opening Ceremony & Introduction to Sino-Foreign Technology Cooperation Lecture Overview of China's AI and biomedical development; course introduction; participant introductions
Day 2 Fundamentals of Bioinformatics and Precision Medicine Lecture + Practice Introduction to omics data and common databases in biology and medicine (e.g., NCBI, NGDC)
Day 3 Management of Bioinformatics Analysis Environments Lecture + Practice Introduction to the Linux system, Conda installation, and JupyterLab configuration
Day 4 Fundamentals of Bioinformatics Programming Lecture + Practice Basic syntax and data structures in R and Python
Day 5 Transcriptome Data Analysis Lecture + Practice RNA-Seq workflow, differential expression analysis, and functional enrichment
Day 6 Visit to University/Platforms Visiting Visit to the university history museum and computer-based experimental teaching platform
Day 7 Visit to Laboratories/Institutions Visiting Visits to the College of Life Sciences and bioinformatics laboratories
Day 8 Single-cell Omics Analysis Lecture + Practice Upstream analysis, quality control, dimensionality reduction, clustering, and annotation
Day 9 Applications of Machine Learning in Medicine Lecture + Practice Regression and classification models, cross-validation, and model evaluation metrics (AUC, F1, etc.)
Day 10 Fundamentals of Deep Learning and Model Construction Lecture + Practice Neural network basics and applications of large language models in biomedicine
Day 11 Protein Structure Prediction and Functional Identification Lecture + Practice Using AlphaFold and predicting protein–protein interactions
Day 12 Text Mining and Electronic Health Record Analysis Hands-on Practice Literature/EHR mining, entity recognition, and knowledge graph construction
Day 13 Visit to Medical Enterprises/Institutions Visiting Visit to AI biomedical companies
Day 14 Visit to Medical Enterprises/Institutions Visiting Visit to AI biomedical companies
Day 15 Medical Imaging and AI-assisted Diagnosis Lecture + Practice Medical image analysis; lymph node annotation and modeling case studies
Day 16 Graduation Ceremony and Future Cooperation Presentation & Discussion Summary, certificate awarding, and establishment of a Sino-foreign cooperation network