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Call for papers - Advanced machine learning and health-related multi-omics data

Guest Editors:
Alejandro Rodriguez Gonzalez: Universidad Politécnica de Madrid, Spain
Wei Lan Guangxi University, China

Submission Status: Open   |  Submission Deadline: 30th June 2023


BMC Medical Informatics and Decision Making, BMC Medical Genomics is calling for submissions to our Collection on Advanced machine learning and health-related multi-omics data.

The development of novel techniques based on data-driven approaches, especially focused on artificial intelligence techniques, for the study of human health from a computational perspective, is gaining momentum nowadays. Different types of available data are making new types of analysis possible, opening new research areas. Multi-omics data are a particular case of data combining different sources of information that can be used for deeper analysis of human health, to have a better understanding of underlying connections and associations. The application of artificial intelligence can be of particular interest to unveil such complex relationships, with potential insights in real-world scenarios, including the clinical application.

Please email Patrik Flammer, the in-house editor for BMC Medical Genomics, (patrik.flammer@springernature.com) or Piero Lo Monaco, the in-house editor for BMC Medical Informatics and Decision Making (piero.lomonaco@springernature.com) if you would like more information before you submit. The deadline for submissions is June 30th 2023.

Submit to collection

BMC Medical Informatics and Decision Making
BMC Medical Genomics
 

Meet the Guest Editors

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Prof. Alejandro Rodríguez-González, Universidad Politécnica de Madrid, Spain

Prof. Alejandro Rodríguez-González, Ph.D., is a Full Professor and Principal Investigator of the Medical Data Analysis laboratory (MEDAL) at the Center for Biomedical Technology in Universidad Politécnica de Madrid. His main research expertise is focused on applying machine learning methods to different types of biomedical information with a special focus on the area of disease networks to increase our current understanding of diseases and their relationships.


Dr. Wei Lan, Guangxi University, China
Dr. Wei Lan received his PhD degree from Central South University in 2016. He is currently an associate professor of the School of Computer, electronic and information at Guangxi University. His research interests include bioinformatics and artificial intelligence. He has published more than 50 refereed papers in international journals and conferences. He has been serving as an associate editor of frontiers in genetics and editorial board member of BMC Medical Genomics, BMC Digital Health, BMC Medical Informatics and Decision Making, Frontiers in Bioscience-Landmark and BioMed Research International.

 


About the collection


This cross-journal collection welcomes articles presenting novel developments and applications of advanced machine learning methods in multi-omics data with clinical relevance for human health, from the perspective of either medical informatics or genomics, with particular attention to deep learning and reinforcement learning methods. For submissions reporting associations between a specific parameter and a health condition, the collection will consider studies that include at least an experimental validation step to support their findings. Studies about specific applications, such as high-dimensional statistics & omics data analysis and diagnostic tools, or novel software or databases will also be considered.

In this context, potential lines of interest, include, but are not limited to:

  • Multi-omic data integration methods for machine learning analysis
  • Explainable machine learning methods for multi-omic data
  • Design and development of deep-learning/reinforcement learning based methods for multi-omic data

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read the submission guidelines of the journal BMC Medical Informatics and Decision Making and BMC Medical Genomics you are submitting to. Articles for this Collection should be submitted via our submission system, Snapp: BMC Medical Informatics and Decision Making or BMC Medical Genomics. During the submission process you will be asked whether you are submitting to a Collection, please select "Advanced machine learning and health-related multi-omics data" from the dropdown menu.

Articles will undergo the standard peer-review process of the journal they are considered in BMC Medical Informatics and Decision Making, BMC Medical Genomics and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest 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 Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.