IEEE BIBM 2025 Workshop
AI-Driven Multimodal Approaches for Brain Disease Diagnosis and Treatment
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）.
Overview
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We invite you to submit papers with unpublished, original research describing recent advances on the areas related to this workshop.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 papers accepted will be included in the Workshop Proceedings published by the IEEE Computer Society Press and will be available at the workshops.
The 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.
Key Dates
- Oct 15, 2025: Due date for full workshop papers submission
- Nov 10, 2025: Notification of paper acceptance to authors
- Nov 23, 2025: Camera-ready submission
- Dec 15-18, 2025: Workshop dates
Program Chairs
Dr. Guan Ning Lin (Shanghai Jiao Tong University)
Dr. Han Wang (Northeast Normal University)
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)
Submission:
- We call for original and unpublished research contributions to the workshop
- We accept submission of Full paper (6 - 8 pages IEEE 2-column format), through the online submission system (you can download the format instruction here
(https://www.ieee.org/conferences/publishing/templates.html). Electronic submissions in PDF format are required. - Online submission system is at site , (please be sure to select our workshop listed as "ProW227： AI-Driven Multimodal Approaches for Brain Disease Diagnosis and Treatment" for submission)
Workshop Schedules (Hybrid: TBD)
| Paper ID | Title | Presentor | Time |
|---|---|---|---|
We will continue to update the workshop information, including the list of program committee members and the confirmed keynote speaker, as they become available. We look forward to receiving your submissions and to a fruitful and enlightening workshop at the IEEE BIBM 2025 Conference!