2025 International Symposium on Bioinformatics and Computational Biology (ISBCB 2025) will be held from April 25 to 27, 2025 in Zhengzhou, China. Bioinformatics and Computational Biology, as indispensable components of modern life sciences, have propelled advancements and breakthroughs in the field of biology by integrating knowledge from computer science, mathematics, and statistics. In this information age, the application of bioinformatics has profoundly transformed our understanding of genomics, transcriptomics, proteomics, and other domains, providing powerful tools for personalized medicine, drug design, ecological research, and more. This conference serves as a valuable platform for academic exchange, allowing participants to share their latest research findings in the fields of bioinformatics and computational biology. It provides an opportunity to discuss innovative methods and technologies and collectively address the current challenges in these rapidly evolving disciplines. We anticipate that this exchange will foster interdisciplinary collaboration, inspire new perspectives, and propel the further development of bioinformatics and computational biology.

The topics of interest for submission include, but are not limited to：

AI and Machine Learning in Medicine and Healthcare

Computational Drug Discovery

Sequence Analysis

Single cell sequencing

Omics Data Integration and Analysis

Genomic Variation and Disease

Haplotypes and Population Genomics

Phylogenetics

Protein and RNA Analysis, Structure, and Dynamics

Metagenomics and Algorithms for Microbiomes

Cancer Genomics

Pharmacogenomics

Systems Biology

Biological Networks and Integrative Analysis

Multimodality modeling

Imaging Informatics

Imaging Genomics and Radiation Genomics

Natural Language Processing (NLP) and text mining

Large language model (LLM) for healthcare applications

Data Integration, Harmonization, and Ontology

Computational Phenotyping

Automated Diagnosis and Prediction

Clinical Databases and Information Systems

Data Security and Privacy

Knowledge Representation Applications

Biomedical and Health Data Visualization

Public Health and Population Health Informatics

Infectious Disease Networks and Computational Epidemiology

Social Network Analysis for Health Applications

No-Boundary Thinking in Bioinformatics