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Recent Trends in Computational Biomedical Research

This special issue belongs to the section “Biochemistry, Biophysics and Computational Biology“.

Special Issue Information

Dear Colleagues,

Recent advances in information technology have brought forth a paradigm shift in science, especially in the biology and medical fields. Statistical methodologies based on high-performance computing and big data analysis are now indispensable for the qualitative and quantitative understanding of experimental results. In fact, the last few decades have witnessed drastic improvements in high-throughput experiments in health science, for example, mass spectrometry, DNA microarray, next-generation sequencing, etc. Those methods have been providing massive data involving four major branches of omics (genomics, transcriptomics, proteomics, and metabolomics). On the other hand, cell imaging, clinical imaging, and personal healthcare devices are also providing important data concerning the human body and disease. In parallel, various methods of mathematical modeling based on machine learning including auto-encoder-based deep neural networks have developed rapidly. All of these data types can be utilized in computational approaches for biomedical research such as on understanding disease mechanisms, diagnosis, prognosis, drug discovery, drug repositioning, disease biomarkers, driver mutations, copy number variations, disease pathways, medical imaging, and much more.

The first volume of this Special Issue was a great success (https://www.mdpi.com/journal/life/special_issues/computational_diseases). Now, we invite you to publish in the second volume.

In this Special Issue, we are inviting papers on novel models, methods, algorithms, and important innovations concerning computational biomedical research.

Dr. Md. Altaf-Ul-Amin
Prof. Dr. Shigehiko Kanaya
Dr. Naoaki Ono
Dr. Ming Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Life is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multiomics research of disease
  • computer-aided diagnosis
  • machine learning for biomedical science
  • health care bioinformatics
  • big data analysis on drugs and disease

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Life - ISSN 2075-1729