IEEE BIBM 2025

Introduction to Workshop

Welcome to the International workshop on "AI-Driven Multimodal Approaches for Brain Disease Diagnosis and Treatment" to be held in Wuhan, China, from 15 to 18 December 2025, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

This workshop aims to explore cutting-edge AI and deep learning methods for analyzing multimodal health data (e.g., genomics, proteomics, metagenomics, imaging, EEG, and/or electronic health records) to improve the diagnosis, monitoring, and treatment of brain diseases. The workshop will bring together researchers and practitioners to discuss challenges, share innovations, and foster collaborations in computational biomedicine.

We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop. All papers will undergo peer review by the conference program committee. All accepted papers will be included in the main conference proceedings which are published in the IEEE digital library, indexed in Google Scholar and Scopus.

Research Topics Included in the Workshop

Topics of interest include, but are not limited to:

• AI and Machine Learning Applications: Deep learning models for early diagnosis of neurological and psychiatric disorders.
• Multi-Omics Integration: Combining genomics, transcriptomics, and proteomics for biomarker discovery.
• Multimodal Data Fusion: Integration of genomics, transcriptomics, proteomics, neuroimaging, and clinical records for personalized medicine.
• AI Drug Study: Deep learning models for predicting drug responses and side effects, and may help to improve the treatments for the brain, neural, or mental disorders.
• Clinical Decision Support Systems: AI tools for real-time diagnosis and treatment recommendations and planning.
• Translational Applications: studies of AI models deployed in clinical settings, such as Federated learning and privacy-preserving computation in brain health research.

Invited Speakers (Confirmed)

We are honored to welcome the following distinguished speakers:

• Prof. Dong Xu
  Affiliation: University of Missouri
  Talk Title: Applications of AI Foundation Models for Biomedical Research
• Prof. Haixia Long
  Affiliation: Hainan Normal University
  Talk Title: Multi-omics data analysis based on deep learning and high-order networks
• Prof. Jianing Qiu
  Affiliation: Mohamed bin Zayed University of Artificial Intelligence
  Talk Title: Medical Al: From Foundation Models, Al Agents to Human-Al Collaboration
• Prof. Zhe Liu
  Affiliation: East China University of Science and Technology
  Talk Title: AI-Driven Interpretation of Mutation-Induced PPI Perturbations in Brain Diseases
• Prof. Xiaoyue Feng
  Affiliation: Jilin University
  Talk Title: From Images to Insights: Building Next-Generation Computational Microscopy for Spatial Omics
• Prof. Xianfang Wang
  Affiliation: Henan Institute of technology
  Talk Title: AttentionMol：Multi-Head Attention for Pan-Cancer Targeted Molecule Design
• Prof. Wenji Ma
  Affiliation: Shanghai Jiao Tong University
  Talk Title: Prior knowledge guided multi-omics data analysis.
• Prof. Hao Zhang
  Affiliation: Jilin University
  Talk Title: AI-Driven Multi-scale Biological Modeling: RNA Structures, Plant-Fungal Interactions, and Spatial Omics
• Prof. Weidi Wang
  Affiliation: Shanghai Mental Health Center
  Talk Title: Decoding of neurodevelopmental trajectories: from infant-critical genes to early diagnosis and intervention for brain disorders

Important Dates (USA Eastern Standard Time)

• Oct 15, 2025: Due date for full workshop paper submissions
• Nov 10, 2025: Notification of paper acceptance to authors
• Nov 23, 2025: Camera-ready submission of accepted papers
• Dec 15-18, 2025: Workshop held in conjunction with IEEE BIBM 2025

Program Chairs / Co-Chairs

Program Committee Members

• Dr. Dong Xu (University of Missouri – Columbia)
• Hao Zhang (College of Computer Science and Technology, Jilin University)
• Wang-Ren Qiu (Jingdezhen Ceramic University)
• Hao Lin (University of Electronic Science)
• Xiao-Hu Shi (Jilin University)
• Xiao-Yue Feng (Jilin University)
• You Zhou (Jilin University)
• Wen-Ji Ma (Shanghai Jiao Tong University School of Medicine)
• Zhe Liu (East China University of Science and Technology)