This course will introduce the basic concepts of clinical trials, as well as the design and statistical analysis of clinical trials at various stages of drug development. It will particularly focus on practical discussions and considerations for regulatory evaluations in both our country and advanced countries. The course content includes: design and requirements of preclinical study to support clinical trial in new drug development, key clinical considerations, and the design of Phase I, II, and III clinical trials.  Additionally, the course will emphasize adaptive and enriched designs of clinical trials, real world data (RWD) and real world evidence (RWE), cancer clinical trials, and clinical considerations for the development of advanced therapy medicinal products (ATMPs) or innovative medical devices, which have been of particular interest in recent years. 

To help the participants gain a deeper understanding of the course content, a practical session on R programming has been arranged.  Participants are encouraged to prepare their own laptop and install the R and R STUDIO software in advance.  

Participants who attend more than half of the total sessions will be awarded a certificate at the end of the course.

An exploration of how scientific knowledge and artistic expression can be integrated through digital media and online resources to improve visual communication. Examples include pen-and-ink drawings, realistic ecological scenes, infographics, and graphical abstracts, with a focus on the learning processes and key workflows

This course will introduce the basic concepts of clinical trials, as well as the design and statistical analysis of clinical trials at various stages of drug development. It will particularly focus on practical discussions and considerations for regulatory evaluations in both our country and advanced countries. The course content includes: design and requirements of preclinical study to support clinical trial in new drug development, key clinical considerations, and the design of Phase I, II, and III clinical trials.  Additionally, the course will emphasize adaptive and enriched designs of clinical trials, real world data (RWD) and real world evidence (RWE), cancer clinical trials, and clinical considerations for the development of advanced therapy medicinal products (ATMPs) or innovative medical devices, which have been of particular interest in recent years. 

To help the participants gain a deeper understanding of the course content, a practical session on R programming has been arranged.  Participants are encouraged to prepare their own laptop and install the R and R STUDIO software in advance.  

Participants who attend more than half of the total sessions will be awarded a certificate at the end of the course.

Discover how EndNote 2025 helps you manage references with AI, making key-point extraction and summarization easier.

Learn EndNote’s core features and use CWYW to handle citations, references, and formatting all in one place while writing.

EndNote accelerates our research process so we can focus on what truly matters – conducting and sharing groundbreaking research. With the help of EndNote, we can collect, organize, manage, and even format references for our research efficiently. Let's make the most of EndNote.

Outline

•Install EndNote and create a library

•Collect References

•Manage and Groups

•Cite While You Write

•Back up and Share

【Class Requirements】If you do not have an account yet, please register first.

The availability of online resources is contributing to a growing global problem of plagiarism across all educational sectors. Turnitin is the world-leading plagiarism prevention system trusted by 15,000 institutions in 140 countries. Available 24-7, it’s web-based and there’s no need to install any software.

It works by comparing submitted work to the world's largest collection of internet, academic, and student paper content. Turnitin is a complete tool for detecting unoriginal work and teaching students academic writing and referencing skills.

Outline

• What is Turnitin?
• Setting Up Your Account
• Submitting Your Paper
• Viewing the Similarity Report  
• Downloading the Similarity Report

This workshop focuses on advanced applications of Ingenuity Pathway Analysis (IPA) for the integrative analysis of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics data. The course demonstrates how high-resolution transcriptomic data can be translated into biologically interpretable mechanisms and testable research hypotheses.
Using a recent ovarian cancer spatial multi-omics study as the core case study, participants will work with publicly available datasets to generate differential gene expression signatures at both the spatial level (tumor regions and microenvironmental niches) and the single-cell level (cell types and subpopulations). These signatures will be analyzed in IPA using Canonical Pathway, Upstream Regulator, and Network Analysis.
Through Comparison Analysis, the course illustrates how spatial transcriptomic signatures can be integrated with single-cell–derived signatures to link spatial patterns to their cellular origins, enabling interpretation of self-reinforcing signaling circuits and tumor ecosystem dynamics. Emphasis is placed on reproducible workflows, guiding participants from public data processing to biological insight generation and publication-ready visualization.

Course Outline

1. Overview of IPA functionality and knowledge base updates

2. Introduction to the IPA Interpret module and research use cases

3. Application of scRNA-seq and spatial transcriptomics data in IPA

   3.1 Spatial transcriptomics cancer case study (ovarian cancer): pathway and regulatory mechanism analysis of tumor regions and microenvironments

   3.2 Single-cell RNA-seq cancer case study (ovarian cancer): cell-type-specific signaling and regulatory networks

4. Comparison Analysis: integrative interpretation of spatial and single-cell signatures

5. Upstream regulators, causal networks, and tumor microenvironment modeling

6. Result interpretation, visualization, and report generation