Researchers, healthcare innovators, and data scientists take note: Springer Nature has opened a Call for Papers for an upcoming article collection titled "AI and Data Science for Health" in the Bulletin of the National Research Centre.
This special collection aims to showcase cutting-edge research at the intersection of artificial intelligence, advanced data science, and modern healthcare systems.
Key Highlights of the Collection
Journal: Bulletin of the National Research Centre (Published by Springer Nature)
Indexing: Scopus-indexed
Publishing Model: Fully Open Access
Publication Fee (APC): No Author-Paid APC (The APC is fully funded via an agreement between Springer Nature and the Specialized Presidential Council for Education and Scientific Research, Government of Egypt)
Submission Deadline: June 9, 2027
Focus Areas & Scope
The collection welcomes original, high-quality research, interdisciplinary studies, and comparative analysis that leverage computational methods to address critical health and clinical challenges. Suggested topics include, but are not limited to:
Machine learning and deep learning applications in healthcare and clinical decision-making
Deep learning models for medical imaging, diagnostic tools, and image segmentation
Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP) for health records
Integration of Generative AI/LLMs with the Internet of Medical Things (IoMT) and wearable devices
Multi-omics data integration for precision and personalized medicine
Healthcare data privacy, security, and federated learning models
Ethical AI, bias mitigation, fairness, and explainable AI (XAI) in clinical workflows
Predictive modeling for public health, epidemiology, and automated drug discovery
Submission & Review Process
Review Type: All submitted manuscripts will undergo rigorous double-blind peer review.
Originality: Submissions must present original, unpublished research.
Format: Manuscripts should follow the standard journal formatting and submission guidelines.
How to Submit
To submit your paper or learn more about submission guidelines, visit the collection page directly at:
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