Advanced Algorithms for Biomedical Data Analysis
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms for Multidisciplinary Applications".
Deadline for manuscript submissions: 31 August 2025 | Viewed by 139
Special Issue Editor
Special Issue Information
Dear Colleagues,
Advances in genetics, medical imaging, wearable technology, and electronic health records have all contributed to the swift growth of biomedical data, necessitating the development of novel computational techniques for the analysis and interpretation of these complex data. The goal of this Special Issue is to present state-of-the-art research on sophisticated algorithms focused on addressing the unique difficulties of biological data processing. Topics of interest include, but are not restricted to, the following:
- Deep learning and machine learning models for the diagnosis and prognosis of diseases.
- Algorithms for analysing proteomic and genomic data.
- Computational techniques for processing and analysing medical images.
- Methods of data fusion and integration for multi-omics and multi-modal data.
- Interpretability and explainable AI in biomedical applications.
- Large-scale biomedical datasets benefitting from scalable techniques.
- Clinical text analysis using natural language processing (NLP) applications.
Original research articles, reviews, and case studies showcasing cutting-edge techniques, resources, and applications in this rapidly developing area are encouraged. This Special Issue will showcase the revolutionary potential of sophisticated algorithms in enhancing healthcare outcomes and furthering biomedical research through submissions from scholars and practitioners.
Dr. Micheal Olaolu Arowolo
Guest Editor
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. Algorithms 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 1600 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 analysis
- machine learning in healthcare
- genomic and proteomic data
- medical image processing
- explainable AI in biomedicine
- multi-omics data integration
- clinical NLP
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
