Machine Learning and Artificial Intelligence for Biostatistics
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 39
Special Issue Editors
Interests: machine learning; biostatistics; artificial intelligence; public health data science; cancer epidemiology; NLP in healthcare; clinical prediction models
Interests: AI; optimization; machine learning; medical artificial intelligence; renewable energy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in machine learning (ML) and artificial intelligence (AI) have opened new frontiers in the analysis of biomedical data. This Special Issue of Bioengineering will showcase how biostatistical thinking and AI methods can be integrated to address complex challenges in biomedical engineering. Specifically, we focus on computational tools and frameworks that enhance the analysis of medical imaging, biosignals (e.g., ECG, EEG), and high-throughput biological data (e.g., genomics, transcriptomics), where statistical rigor remains essential for clinical translation.
We invite contributions that propose novel AI/ML approaches grounded in biostatistics for the processing, modeling, and interpretation of biomedical data. Applications may include—but are not limited to—automated image-based diagnosis, real-time physiological signal monitoring, precision medicine from omics data, and interpretable deep learning models for clinical decision support.
This Special Issue aims to bridge AI innovation with biomedical data science, highlighting methods that are not only algorithmically powerful but also statistically sound and clinically meaningful.
Dr. Muktar Beshir Ahmed
Dr. Mehdi Neshat
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
- artificial intelligence
- machine learning
- biostatistics
- medical image analysis
- biosignal processing
- bioinformatics
- deep learning
- biomedical data science
- clinical prediction
- statistical learning
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