Deadline for manuscript submissions: 31 August 2025

 

Special Issue Editors

 

Prof. Dayu Hu Website  E-Mail: hudayu@nudt.edu.cn
Guest Editor
National University of Defense Technology
Interests: Graph learning; Bioinformatics

 

Prof. Chengyuan Wang Website  E-Mail: cywang95@cmu.edu.cn
Guest Editor
China Medical University
Interests:Medical analysis; Bibliometric analysis

 

Prof. Shisheng YuanWebsite  E-Mail: yuanss@syuct.edu.cn
Guest Editor
School of Materials Science and Engineering, Shenyang University of Chemical Technology, Shenyang 110142, PR China
Interests: HER and OER catalysts

 

 

Special Issue Information

 

The complexity of cellular heterogeneity presents a critical challenge in advancing precision medicine. Recent innovations in single-cell technologies and advanced computational methods have significantly advanced our understanding of intricate biological systems at the cellular level. This Special Issue highlights the latest advancements in single-cell research, showcasing how these cutting-edge techniques are providing valuable insights into cellular diversity, disease mechanisms, and potential therapeutic targets.

 

With the rapid development of single-cell RNA sequencing, imaging techniques, and computational algorithms, the capability to decipher cellular heterogeneity within individual cells is steadily increasing. These advancements hold significant promise for personalized medicine, where tailoring treatment strategies to the unique genetic and molecular profile of a patient has the potential to substantially improve therapeutic outcomes. Additionally, this issue explores the integration of novel materials and technologies to enhance the precision and accuracy of single-cell methods.

 

We invite contributions that cover a wide range of topics in this dynamic field, including but not limited to, the development of intelligent methodologies for single-cell analysis such as clustering, graph learning techniques, and innovative materials supporting single-cell research. The issue will also cover applications in cancer, immunology, and neurobiology, as well as the role of artificial intelligence and machine learning in decoding complex biological data. We welcome both conceptual and empirical articles, as well as reviews, meta-analyses, and critical perspectives.

 

This Special Issue aims to foster interdisciplinary collaborations and illustrate how the integration of advanced technologies, innovative materials, and intelligent approaches can lead to breakthroughs in precision medicine. We look forward to receiving contributions that explore the future of single-cell research and its potential transformative impact on healthcare and therapeutic strategies.

 

 

Keywords:

• Cellular heterogeneity
• Precision medicine
• Single-cell technologies
• Computational methods
• Personalized medicine
• Single-cell RNA sequencing
• Artificial intelligence
• Interdisciplinary collaborations

 

 

 

Published Papers