*Special Issue on "Current Trends and Future Directions in Biomedical Data
Science"*
The topics of the special issue include, but are not limited to, the
following expected applications:
• Explainable AI (XAI): In healthcare, it is critical to have interpretable
AI models that provide explanations for their predictions. XAI is
particularly important for gaining the trust of healthcare professionals
and ensuring patient safety.
• Multi-Omics Integration: Integrating data from various omics fields, such
as genomics, proteomics, and metabolomics, provides a comprehensive view of
biological systems. Biomedical data scientists are developing methods to
combine and analyze these diverse datasets for a more holistic
understanding of health and disease.
• Microscopic and Biomedical Imaging: The application of data science
techniques to image analysis, segmentation, registration, and fusion in
microscopy and biomedical imaging.
• Next-Generation Sequencing: Using data science techniques to process and
analyze genomic data from next-generation sequencing technologies.
• Artificial Intelligence for Biomedical Data: The application of
artificial intelligence techniques, including machine learning and deep
learning, to analyze and interpret biomedical data.
• Biomedical Big Data Analytics: The development of advanced analytics
techniques and tools to process and analyze large-scale biomedical data.
• Optimization and Operation Research for Biomedical Data: Developing
optimization models and algorithms to improve healthcare operations and
decision-making processes.
• Deep Learning for Biomedical Data: Applying deep learning techniques to
biomedical data, including medical imaging and genomic data.
•Additionally, we encourage submissions of surveys and future-oriented
papers in biomedical data science.
*Key Dates*Deadline for Submission: 17 Jun 2024
First Reviews Due: 25 Jul 2024
Revised Manuscript Due: 31 Sep 2024
Final Decision: 31 Nov 2024
*Guest Editors*Hossein Moosaei,
Roohallah Alizadehsani,
Mario Rosario Guarracino,
Jerry Chun-Wei Lin.
For more detailes, please see:
https://www.embs.org/jbhi/wp-content/uploads/sites/18/2023/10/JBHI_Biomedical-Data-Science_SI_Moosaei.edited.pdf
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