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Call for Papers: Artificial Intelligence & Machine Learning in systems biology, biotechnology, and biomedicine

Collection Editors: Jun Seita - Associate Editor, npj Systems Biology and Applications, Matteo Barberis - University of Surrey and University of Amsterdam, Nico Fanget - Managing Editor, npj Systems Biology and Applications, Nature Research

npj Systems Biology and Applications is an international, peer-reviewed journal publishing premier research that integrates or aids the integration of data, analyses and insight from molecules to organisms and broader systems.

To coincide with the Nobel Turing Challenge we are currently looking for work focusing on artificial intelligence (AI) including machine learning (ML) as applied to system biology and biomedicine, in particular but not limited to:

• Major biomedical research including applications in drug discovery, image analysis, and automation of experiments
• Clinical applications on AI-based diagnosis and interventions, and lifestyle monitoring using wearable devices and sensors
• Biotechnology applications including AI/ML-directed synthetic biology research
• Methodologies and tools enabling use of AI and related technologies in biomedical research

_{Image credit: GDJ/Pixabay}

The article selection below represents the types of research the journal has already published on these topics. We welcome exploratory works as well as contributions describing high impact tools, standards, algorithms, and other technical items that shall help the community to adapt AI/ML for systems biology more broadly in the life science domain.

Visit our website to learn more about npj Systems Biology and Applications' aims and scope, or to browse all available articles.

• Learning to encode cellular responses to systematic perturbations with deep generative models 
• Sparsely-connected autoencoder (SCA) for single cell RNAseq data mining
• 3D convolutional neural networks-based segmentation to acquire quantitative criteria of the nucleus during mouse embryogenesis
• Multiomics data integration unveils core transcriptional regulatory networks governing cell-type identity
• Inferring clonal composition from multiple tumor biopsies
• Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data
• A machine learning approach to predict metabolic pathway dynamics from time-series multiomics data
• Prostate cancer screening research can benefit from network medicine: an emerging awareness

To submit your manuscript for consideration at npj Systems Biology and Applications as part of this Collection, please follow the steps detailed on this page. Once logged in you can submit your manuscript to a Collection by selecting the appropriate manuscript type and clicking “Continue”. Then when filling out the "Manuscript Information", select the "Artificial Intelligence & Machine Learning in systems biology, biotechnology, and biomedicine" Collection from the "Subject Terms" tab. Authors should also express their interest in the Collection in their cover letter.

Please direct any queries to Nico Fanget, Managing Editor: n.fanget@nature.com

 

 

 

Collection Submission Policies

 

Collections of original primary research articles are published open access and online only.

All manuscripts submitted to a Collection are assessed according to the standard npj Systems Biology and Applications editorial criteria and are subject to all standard journal policies. If accepted for publication, an article processing charge applies (with standard waiver policy).

All Collections are open for submissions from all authors – and not by invitation only – on the condition that the manuscripts fall within the scope of the Collection and of npj Systems Biology and Applications more generally.

Manuscripts submitted to an open Collection may be considered unsuitable for inclusion, particularly if they fall outside the scope of the Collection. In such cases, the authors will be notified by the editorial office and their manuscript can be considered as a regular npj Systems Biology and Applications submission.

npj Systems Biology and Applications' in-house editors reserve the right to assume responsibility for the management of a Collection at any stage.