As part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
Ensure original unpublished content, proper language, valid article type and compliant manuscript length.
Follow official template, standard layout, graphic rules and unified reference format.
Complete full author details, valid contact, mandatory ORCID and confirmed contribution statement.
Submit full declarations, ethical approvals, privacy compliance and authorized usage proofs.
Deposit complete datasets with DOI, clear statement, full documentation and proper data processing.
Share accessible code with detailed notes, full parameters and verifiable experimental results.
Present detailed model design, credible evaluation, risk control and practical research significance.
Arrange supplementary contents orderly and clarify updates for extended versions.
Author Guidelines
Thank you for considering submitting your work to Biomedical Data Science & Artificial Intelligence. All manuscripts must be prepared using our official templates and follow the guidelines below.
Official Manuscript Templates
Please use one of the following templates to prepare your manuscript:
Use the official BDSAI Word or LaTeX template provided above
Line spacing: 1.5; font: 12-point Times New Roman
Pages must be numbered consecutively in the bottom right corner
Figures and tables must be numbered sequentially and cited in the text
High-resolution images (≥300 dpi) are required for publication
All abbreviations must be defined on first use
Equations must be numbered sequentially on the right-hand side
4. Citation Style (Vancouver)
Examples:
Journal Article:
Johnson AE, Bulgarelli L, Shen L, et al. MIMIC-IV, a freely accessible electronic health record dataset. Scientific Data. 2023;10(1):1. doi:10.1038/s41597-022-01899-x
Conference Proceeding:
Devlin J, Chang MW, Lee K, Toutanova K. BERT: Pre-training of deep bidirectional transformers for language understanding. In: Proceedings of NAACL-HLT 2019; 2019; Minneapolis, MN. pp. 4171-4186. doi:10.18653/v1/N19-1423
Dataset:
SepsisEHR-v1. Prime Academic Press; 2026. Available from: https://doi.org/10.5281/zenodo.xxxxxxx
5. AI & Data Reproducibility Requirements (Mandatory)
All datasets must be deposited in a public repository (Zenodo, Figshare, Dryad) with a permanent DOI
All custom code must be shared in a public repository (GitHub, GitLab) with a permanent DOI
Provide detailed descriptions of data preprocessing, model architecture, and training procedures
Include ablation studies, baseline comparisons, and statistical significance tests
Report all hyperparameters, random seeds, and hardware specifications
Include a clear data availability statement and code availability statement
6. Ethical & Author Requirements
All authors must have a valid ORCID iD (mandatory)
Submit a full competing interests disclosure
Include IRB/ethics committee approval for human/animal studies
Obtain informed consent from research participants
Ensure patient data complies with HIPAA/GDPR regulations
All authors must approve the final version of the manuscript
Include a CRediT author contribution statement
7. Double-Blind Review Preparation
Remove all author identifying information from the manuscript
Delete institutional logos, watermarks, and acknowledgments
Format self-citations neutrally (e.g., "Smith et al., 2025")
Do not include links to author websites or repositories
Upload a separate title page with full author information during submission
For questions about these guidelines, please contact the Editorial Office at:
By submitting a manuscript to Biomedical Data Science & Artificial Intelligence, the corresponding author confirms and agrees on behalf of all authors that:
Authors retain full copyright of their work. All authors retain the right to use, reproduce, distribute, and adapt their work without restriction.
Upon acceptance, the manuscript will be published under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license permits anyone to read, download, copy, distribute, print, search, or link to the full text of the article, provided appropriate credit is given to the original authors and the journal.
Authors grant Prime Academic Press a non-exclusive license to publish, distribute, and archive the work in all formats and media.
The manuscript is original, has not been published elsewhere, and is not under consideration by any other journal.
All authors have approved the final version of the manuscript and consent to its publication.
The authors have obtained all necessary permissions for the use of any copyrighted material included in the manuscript.
CC BY 4.0 License Summary
The CC BY 4.0 license allows:
✅ Commercial use
✅ Modification and adaptation
✅ Distribution and reproduction
✅ Private use
Only requirement: Appropriate attribution to the original authors and source.