Special Issue: Multimodal Medical Data-driven Biomedical and Health Informatics: Challenges and Solutions

IEEE Journal of Biomedical and Health Informatics (Impact Factor: 6.8, JCR Q1)  

Special Issue: Multimodal Medical Data-driven Biomedical and Health Informatics: Challenges and Solutions

* All presenters of abstracts (either poster or oral) for CMID 2025 are eligible to submit a full paper to the special issue.

* All submissions will be subject to the journal’s standard peer review process, handled by the guest editors.

Topics of interest include, but are not limited to:

●Multimodal data fusion method based on deep learning

●AI-driven tools for multimodal medical data fusion analysis

●Cross-modality learning and transfer learning applied to multimodal healthcare data

●Multimodal medical data modeling and processing

●Novel multimodal data fusion model architecture, training techniques, and optimization methods

●Methods for evaluating and/or mitigating privacy and security risks in multimodal data fusion models

●Disease diagnosis and personalized treatment based on medical multimodal model

●Bioinformatics foundation of future holographic smart medicine

●Efficient algorithms and parallel computing for high-throughput biomedical data

●Pharmacogenomics research based on bioinformatics computing

●Bioinformatics models and computational methods driven by multimodal data

●Bioinformatics computational methods and multimodal data analysis for health monitoring

More details of the special issue, please find at: https://www.embs.org