Call for papers - Computational biology: AI techniques for understanding biological systems

Guest Editors

Le Nguyen Quoc Khanh, PhD, Taipei Medical University, Taiwan
Leyi Wei, PhD, Shandong University, China

Submission Status: Open | Submission Deadline: 29 April 2025

B MC Artificial Intelligence is calling for submissions to our Collection, Computational biology: AI techniques for understanding biological systems. This Collection will gather research on the uses of computational biology and AI, focusing on the application of these techniques to understand biological systems. We welcome submissions that explore the use of AI in biomarker discovery, bioinformatics, drug development, and bioimage analysis, with the aim of advancing healthcare innovation and biological research.

New Content Item This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being, SDG 9: Industry, Innovation & Infrastructure.

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Meet the Guest Editors

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Le Nguyen Quoc Khanh, PhD, Taipei Medical University, Taiwan

Le Nguyen Quoc Khanh earned his BS degree in Information Technology in 2010 from Dalat University, Vietnam. He earned his MS and PhD degrees in the Department of Computer Science and Engineering, Yuan Ze University, Taiwan. After obtaining a PhD degree, he was a Research Fellow at the School of Humanities, Nanyang Technological University, Singapore. Currently, he is an Associate Professor at the College of Medicine, Taipei Medical University (TMU), Taiwan. Dr Khanh's research interests focus on applying artificial intelligence in multidisciplinary studies, especially Bioinformatics, Biomedical Informatics, and Radiomics.

Leyi Wei, PhD, Shandong University, China

Leyi Wei received the BSc degree in Computing Mathematics from Xiamen University in 2010, the ME and PhD degrees in Computer Science and Technology from Xiamen University in 2013 and in 2016, respectively. Between 2016 and 2019, he worked as an Assistant Professor at the College of Intelligence and Computing, Tianjin University. He also worked as a project researcher in the lab of Functional analysis in silico, Institute of Medical Science, University of Tokyo between 2018 and 2019. Since 2020, he has been a Professor at the School of Software, Shandong University.

About the Collection

B MC Artificial Intelligence is calling for submissions to our Collection, Computational biology: AI techniques for understanding biological systems. This Collection aims to showcase research that applies AI, machine learning, and bioinformatics to address key challenges in computational biology, including biomarker discovery, drug development, personalized medicine, and bioimage analysis. We invite submissions that explore the integration of AI with systems biology, evolutionary biology, and bioengineering to gain deeper insights into biological processes and advance healthcare innovation.

Computational biology studies complex biological systems using data-driven approaches like computational simulations and mathematical modeling. Recent advances in computational biology have harnessed the power of artificial intelligence and computational techniques for transformative discoveries in biology and medicine. These have led to novel findings in protein structure predictions, identifying disease biomarkers, and accelerating drug discovery processes. Moreover, the application of AI in bioimage analysis has enabled automated and high-throughput analysis of biological images, revolutionizing research in cell biology and pathology.

We invite contributions that examine a wide range of topics relating to the application of AI to model and analyze complex biological systems, including but not limited to:

AI-driven biomarker discovery
Integrative approaches in computational biology
Bioinformatics for personalized medicine
AI applications in drug discovery
Bioimage analysis using machine learning
AI in genomics and proteomics
AI in neuroscience research
AI in ecological and environmental biology

Please email Alison Cuff, the editor for B MC Artificial Intelligence, (alison.cuff@biomedcentral.com) if you would like more information before you submit.

This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being, SDG 9: Industry, Innovation & Infrastructure.

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "Computational biology: AI techniques for understanding biological systems" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.