Conference Information
ACM-BCB 2026: ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
https://acm-bcb.org/
Submission Date:
2026-02-20
Notification Date:
2026-05-19
Conference Date:
2026-06-30
Location:
Calabria, Italy
Years:
17
Viewed: 35957   Tracked: 6   Attend: 1

Call For Papers
The 17th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2026) is the flagship conference of ACM SIGBio. It will move for the first time to Europe and will be held in Calabria, Italy from June 30 to July 3, 2026. The conference aims to promote big data, AI and algorithms for health and biomedicine including cutting-edge advances in computational biology, bioinformatics, and health informatics, at the intersection of computer science, biology, health and medicine. The conference will be hosted at University of Calabria Congress Center. The conference will be hosted at the University of Calabria Congress Center. Please visit the conference website for details: https://acm-bcb.org.

This year for the first time, ACM BCB submitted papers will go through a two phase review process aiming to publish accepted papers in a ACM new journal format. By the two phase review process, authors can refine their work based on constructive critiques from reviewers. The updated paper version can thus be considered in a second phase review process. Accepted papers will then be included in a new journal published by ACM. The journal will be indexed by Scopus, WOS and DBLP.

Topics of interest include (but are not limited to)

    Haplotypes and Population Genomics
    Computational Drug Discovery
    Multi-omics Integration and Analysis
    Genomic Variation and Disease
    Phylogenetics
    Protein Analysis, Structure, and Dynamics
    Biomedical Imaging Analysis and Informatics
    Metagenomics and Microbiomes
    Pharmacogenomics
    Biological Networks and Systems Biology
    Biomedical Knowledge Graphs
    AI and Machine Learning in Biology, Medicine, and Healthcare
    Explainable AI and AI Interpretability
    Trustworthy AI and Agentic AI
    Natural Language Processing for Biomedicine and Health
    Large Language Model (LLM) for Biomedicine and Health
    Semantic Representation of LLMs
    Harmonization of Multimodal Health Data
    Health Data Space, Ontologies and Standards
    Computational Phenotyping
    Multimodality Biomedical Data Analysis
    Biomedical and Health Data Visualization
    Wearable Sensor Informatics
    Computational Epidemiology
    Computer-Assisted Diagnosis and Recommendation System
    Security and Privacy of Biomedical and Health Data
    Social Media Analysis for Healthcare
Last updated by Dou Sun in 2025-12-24
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