AI-Driven Multi-Omics Data Integration for
Human Disease Mechanisms and Precision Medicine

About the Workshop

Welcome to the Special Workshop on "AI-Driven Multi-Omics Data Integration for Human Disease Mechanisms and Precision Medicine", held in conjunction with the 2026 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2026).

The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) has established itself as the premier research conference in bioinformatics and biomedicine. This year's workshop focuses on leveraging state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) techniques to bridge the gap between high-dimensional multi-omics datasets (genomics, transcriptomics, epigenomics, proteomics, and metabolomics) and their translation into clinical precision medicine.

We invite researchers from computer science, biology, medicine, mathematics, and statistics to submit original, high-quality research papers addressing computational solutions for uncovering complex human disease mechanisms.

Workshop Hosts

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Wen Zhang, PhD

Florida Atlantic University

Dr. Wen Zhang is a researcher specializing in bioinformatics, computational genetics, and topological deep learning. His research utilizes integrative transcriptome imputation and network-regularized computational models to identify shared biological mechanisms mediating complex trait vulnerabilities.

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Dejian Zhao, PhD

Associate Research Scientist in Genetics
Yale School of Medicine

Dr. Dejian Zhao's research centers around functional genomics, eco-genomics, and single-cell RNA sequencing. Affiliated with the Yale Center for Genome Analysis (YCGA), his work focuses on the multi-omic profiling of disease microenvironments and the regulation of transcriptomic dynamics in human pathologies.

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Topics of Interest

Relevant computational methods, algorithmic innovations, and life science applications include, but are not limited to:

• AI and Machine Learning for High-throughput Multi-Omics Data Integration
• Computational Systems Biology, Pathway, and Biological Network Analytics
• Single-cell Transcriptomics, Spatial Transcriptomics, and Proteomics Data Analysis
• Genomics/Phenomics Analytics and Biomarker Discovery via Deep Learning
• Cross-cutting Computational Modeling for Human Disease Mechanisms
• Precision Medicine Approaches, Target Identification, and Digital Health Phenotyping
• Epigenomics, 3D Genome Organization, and Chromatin Dynamics Exploration

Paper Submission

We solicit high-quality original research papers (including significant work-in-progress) within the scope of our workshop. Paper submission is double-blind. Please do not include any authors' names and/or affiliations in the manuscript.

Manuscripts must be formatted according to the IEEE 2-column format (up to 8 pages). Electronic submissions must be in PDF format.

Important Dates