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Recent Advances in Bioinformatics and Health Informatics

This special issue belongs to the section “Applied Biosciences and Bioengineering“.

Special Issue Information

Dear Colleagues,

The field of Bioinformatics has experienced astonishing growth in recent years because of propelling factors such as the high demand for the sequencing of nucleic acid and protein, the swift progression of proteomics and genomics, plus increasing research on molecular biology and drug discovery. Nevertheless, more research is required to improve the accuracy of medical diagnosis and to expedite genomic medicine for future healthcare regimes. The huge amounts of data that are incessantly generated through nucleic acid and protein sequencing require the application of ultramodern data management technologies to seamlessly handle their intrinsic complexity. Such technologies include the internet of things, cloud computing, crowd computing, and machine learning with functional interpretations for future studies and medical practices. The synergistic connection between bioinformatics and health informatics can provide manifold prospects, novel healthcare technologies, and elongate the strings of computational methods in biology, computer science, mathematics, and statistics for resolving complex challenges in bioinformatics. The prospects of such synergy and its abrupt impacts on global bioinformatics include the following: genetic variation with clinical risk factors, the novel management of chronic diseases, differential responses to treatments, novel drug design, computational epigenetics, a meta-analysis of microarray data, gene network inference, genetic association studies, integrating genetic test results into the patient record, health data analytics, the interoperability of disparate health information systems, the increased the accuracy of medical diagnoses, and the development of remote health surveillance technologies. The purpose of this Special Issue is to invite authors across the world to contribute to the prevailing status of computational methods in bioinformatics and health informatics to advance the interaction of both fields. Theoretical and experimental research articles that cover electrifying computational methods and recent advances in these fields can be submitted to this Special Issue for publication consideration. In addition, contributors can submit comprehensive literature reviews, including systematic reviews and meta-analyses.

Prof. Dr. ‪Oludayo Olugbara
Prof. Dr. Peter Kokol
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • accurate medical diagnosis
  • clinical risk factors
  • chronic disease management
  • computational epigenetics
  • differential treatment response
  • gene network inference
  • genomic sequence analysis
  • health data analytics
  • health data integration
  • health information systems interoperability
  • meta-analysis of microarray data
  • novel drug design
  • patient health records
  • remote health surveillance

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Appl. Sci. - ISSN 2076-3417