Skip to main content

Navigation group

Main content


The Artificial Intelligence/Machine Learning Applications to Biomedical Research category invites high quality manuscripts of original research and review articles on applications of artificial intelligence including machine learning and deep learning in biomedical research. A primary goal is to accelerate and promote applications of both the state-of-the-art and emerging machine learning and deep learning techniques to advance biomedical research. Original research articles on development of new algorithms, software tools, and infrastructures of machine learning and deep learning for effectively answering scientific questions in biomedical research are the focus. Original research articles that describe applications of the state-of-the art machine learning and deep learning algorithms and software tools to address specific scientific questions in biomedical research are welcome. Comprehensive and minireview articles summarizing the progress of machine learning and deep learning as well as their applications in a broad or narrow field in biomedical research are of particular interest to this section. This section also publishes brief communications reporting new databases and data sources that can facilitate development and applications of machine learning and deep learning models in biomedical research. Scientific merit and technical soundness will be the major metrics in evaluating manuscripts. The effective communication of experimental methods and results including originality, clarity, quality and accuracy of the text, figures and tables is important to editorial decisions.

Associate Editor

Huixiao Hong, PhD, US Food and Drug Administration, USA

Review Editors

Feixiong Cheng, PhD, Cleveland Clinic, USA

Xiaohui Fan, PhD, Zhejiang University, China

Ping Gong, PhD, US Army Corps of Engineers, USA

Ruili Huang, PhD, National Institutes of Health, USA

Fred Prior, PhD, University of Arkansas for Medical Sciences, USA

Paul Rogers, PhD, US Food and Drug Administration, USA

Tieliu Shu, PhD, East China Normal University, China

Wenming Xiao, PhD, US Food and Drug Administration, USA

Advisory board and editorial team

SEBM’s Publications Committee and EBM’s Editorial Board provides strategic and professional advice to the Editor-in-Chief, Dr Steven Goodman. The journal recognises the following Editorial Board members for their continuous guidance and support of the journal: 


Steven R. Goodman, PhD, University of Tennessee Health Science Center, Memphis, TN, USA

Assistant to the Editor-in-Chief

Benjamin Zimmer, Society for Experimental Biology and Medicine, Washington D.C., USA

Africa Editor

Gordon Awandare, PhD, University of Ghana, Africa

Asia Editor

Shaw-Jeng Tsai, PhD, National Cheng-Kung University Medical College, Taiwan

Latin America Editor

Nicola Conran, PhD, University of Campinas, Brazil

Europe Editor

Farzin Farzaneh, PhD, King's College London, UK

Australia/Oceana Editor

Dr. Sulev Koks, Murdoch University, Perth, Australia

The full editor list for EBM can be found here.

Journal information

  • Short name

    Exp. biol. med.

  • Abbreviation


  • Electronic ISSN


  • Impact

    3.2 Impact Factor

    5.3 CiteScore

Journal categories

Open access statement

Open access logo

EBM provides online free gold open access to the journal and all of its research publications.

Open Access funder and institutional mandates: EBM is fully compliant with open access mandates, by publishing its articles under the Creative Commons Attribution license  (CC-BY). Funder mandates such as those by the Wellcome Trust (UK), National Institutes of Health (USA) and the Australian Research Council (Australia) are fully compatible with publishing in EBM. Authors retain copyright of their work and can deposit their publication in any repository. The work can be freely shared and adapted provided that appropriate credit is given and any changes specified.


Each EBM article strives for the highest quality, thanks to genuinely collaborative interactions between authors, editors and reviewers. EBM encourages authors to consult the instructions for authors guidelines prior to submission.


Frontiers Editorial Office

Avenue du Tribunal Fédéral 34

CH – 1005 Lausanne


Tel +41(0)21 510 17 40

Fax +41 (0)21 510 17 01

For queries regarding thematic issues, fee support, and any other questions, please contact

For all queries regarding manuscripts in review or potential conflicts of interest, please contact

EBM Editorial Offices

For any additional questions or queries, please contact

IT HelpDesk

Tel +41(0)21 510 17 10

Fax +41 (0)21 510 17 01

For technical issues, please visit our HelpDesk, or contact our IT HelpDesk team at