Deep Learning, Explainable AI and Applied Mathematics for Biomedical and Medical Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 31 May 2027 | Viewed by 4
Editors
Interests: applied artificial intelligence; deep learning; explainable artificial intelligence; applied mathematics; mathematical modeling; optimization; biomedical data analysis; biosignal analysis; clinical decision support systems; healthcare predictive modeling; medical applications
Interests: applied mathematics; artificial intelligence; machine learning; optimization; computational intelligence; data-driven modeling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Deep learning and applied mathematics are increasingly transforming biological, biomedical, and medical research by enabling accurate modeling, prediction, optimization, and interpretation of complex data. Recent advances in neural networks, explainable artificial intelligence, mathematical modeling, uncertainty-aware learning, and computational intelligence provide new opportunities for improving clinical decision support, disease prediction, biomedical signal analysis, medical imaging, drug response modeling, personalized healthcare, and biological system understanding.
This Special Issue aims to collect high-quality original research and review articles that develop or apply deep learning and mathematically grounded computational methods for biological and medical applications. Topics of interest include, but are not limited to, deep neural networks for biomedical data analysis, explainable AI in healthcare, mathematical modeling of biological systems, optimization methods for medical decision-making, time-series and biosignal analysis, medical image analysis, risk prediction, uncertainty quantification, and interpretable machine learning for clinical applications.
We welcome interdisciplinary contributions that combine theoretical, computational, and application-oriented perspectives, particularly studies demonstrating methodological rigor, reproducibility, interpretability, and practical relevance for biology, medicine, and healthcare.
Dr. Abdul Karim
Dr. Samir Brahim Belhaouari
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics 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 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
- deep learning
- applied mathematics
- explainable artificial intelligence
- biomedical data analysis
- medical applications
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.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
