Call for Papers
Note:
To ensure the integrity of the conference proceedings, each accepted paper must be presented by at least one registered author at the conference. Papers that are not presented will not be included in the final proceedings or submitted for publication.
01: Computational Biology
AI for Protein Structure Prediction
Algorithms for Single-Cell Data Analysis
Deep Learning Applications in Genomics
Computational Tools for Metagenomics
Methods for Multi-Omics Data Integration
Biological Network Modeling and Simulation
Computational Methods for Virtual Drug Screening
Prediction of Off-Target Effects in Gene Editing
Spatial Transcriptomics Data Analysis
Computational Phylogenetics and Evolutionary Analysis
Construction of Biomedical Knowledge Graphs
Computational Methods for Protein Design
Microbiome Data Mining
Non-Coding RNA Function Prediction
Computational Analysis of Cancer Genomic Variations
02: AI for Biological
Generative AI for Protein Design
Large Language Models in Biological Sequence Analysis
AI-Driven Drug Discovery and Molecular Generation
AI-Powered Integration of Single-Cell Multimodal Data
AI-Assisted Genome Interpretation and Functional Annotation
Explainable AI for Decision-Making in Biomedicine
AI-Enabled Synthetic Biology and Metabolic Engineering
Automated AI-Driven Knowledge Discovery from Multi-Omics Data
AI Applications in Microscopy Image Analysis
AI Reasoning with Biomedical Knowledge Graphs
AI-Augmented Clinical Trial Design and Patient Stratification
AI-Driven Phenomics and Precision Agriculture
Transfer Learning of Pretrained Foundation Models in Biology
Closed-Loop AI and Laboratory Automation Systems
Multi-Task AI Learning for Sequence-Structure-Function Relationships
