Advances in Biomedical Data Science: Methods and Applications

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 224

Special Issue Editors


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Guest Editor
Department of Computer Science & Data Science, Meharry Medical College, Nashville, TN 37208, USA
Interests: machine learning; data science; computational biology; next-generation sequencing (NGS); cancer genomics

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Guest Editor
Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Honolulu, HI 96813, USA
Interests: bioinformatics; genomics; biomarker; systems biology; biomedical informatics; cancer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, Honolulu, HI 96813, USA
Interests: bioinformatics; biomedical informatics; cancer; genomics; systems biology

Special Issue Information

Dear Colleagues,

With data science being increasingly crucial for leveraging big data to gain a competitive edge, accelerate scientific discovery, and advance public health, we are organizing a Special Issue of Bioengineering entitled “Advances in Biomedical Data Science: Methods and Applications”. The aim is to highlight the advances in biomedical data science, new methodologies, and their applications to sciences, technologies, bioengineering, medicine, health, and healthcare. Bioengineering is an international, scientific, peer-reviewed, open access journal on the science and technology of bioengineering, published monthly online. For detailed information on the journal, we refer you to https://www.mdpi.com/journal/bioengineering. Topics of interest for this Special Issue include, but are not limited to, the following:

  • Advances in biomedical data science;
  • Data science for biomedical wearable devices;
  • New datasets, AI/ML tools, and novel data analyst methods;
  • Applications of data science to bioengineering, medicine, public health, and minority health;
  • Bioinformatics, computational biology, and automation of bioprocess and biosystems;
  • Big data analytics for biosystems: gene set and pathway analyses, visualization, modeling, and simulation;
  • Data science capacity building in minority serving institutions;
  • Development of diverse data science workforce;
  • Natural Language processing.

Submission of full manuscripts of original research, comprehensive reviews, and/or short communications on any of these topics is strongly encouraged. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere. 

Dr. Qingguo Wang
Prof. Dr. Youping Deng
Dr. Joshua Burkhart
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Bioengineering 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 2700 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

  • biomedical data science
  • computational biology
  • biomedical informatics
  • capacity building
  • data science workforce development

Published Papers

This special issue is now open for submission.
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