Conference Information

ACM-BCB 2026: ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

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Submission Date:
2026-02-20
Notification Date:
2026-05-19
Conference Date:
2026-06-30
Location:
Calabria, Italy
Years:
17
Viewed: 50017   Tracked: 6   Attend: 1

Call For Papers

ACM-BCB 2026 (ACM Conference on Bioinformatics, Computational Biology, and Health Informatics) is an academic conference held in Calabria, Italy on 2026-06-30. The paper submission deadline is 2026-02-20. Acceptance notifications are sent on 2026-05-19.

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 on

Best Papers

YearBest Papers
2024L2 Normalization and Geodesic Distance for Enhanced Information Preservation in Visualizing High-dimensional Single-cell Sequencing Data
2024Spatiotemporal attention boosts calling of complicated variations from long reads' alignment data
2024Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients
2023SeqScreen-Nano: a computational platform for streaming, in-field characterization of microbial pathogens
2023Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making
2023Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics
2023A Model of Cell Population Dynamics in Skeletal Muscle Regeneration
2023Multi-Group Tensor Canonical Correlation Analysis
2023Deep-Learning Based Cell Segmentation and Deconvolution in Spatial Transcriptomics
2021Mechanistic model demonstrates importance of autocrine IL-8 secretion by neutrophils
2021Synthesized difference in differences
2021Signal quality detection towards practical non-touch vital sign monitoring
2021Formulating a gene signature for diagnosis of autoimmune and infectious diseases
2021Match2: hybrid self-organizing map and deep learning strategies for treatment effect estimation
2021The genetics of human aging: predicting age and age-related diseases by deep mining high dimensional biomarker data
2019Practical Universal k-mer Sets for Minimizer Schemes
2019Identifying Symptom Clusters in Breast Cancer and Colorectal Cancer Patients using EHR Data
2018A Consensus Approach to Infer Tumor Evolutionary Histories
2018An Integer Linear Programming Solution for the Domain-Gene-Species Reconciliation Problem
2018A Manifold Learning Based Approach to Reveal the Functional Linkages across Multiple Gene Networks
2018Analysis of Molecular Structure Data]{Systematic Study of Different Design Decisions in Markov Model-based Analysis of Molecular Structure Data: Extended Abstract
2016Bipartite Matching Generalizations for Peptide Identification in Tandem Mass Spectrometry
2016A Fast Sketch-based Assembler for Genomes

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