Applications of Mathematical and AI-Based Methods in Biomedical Informatics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 994
Editor
Interests: AI; algorithms; computer science; engineering mathematics; NLP
Special Issue Information
Dear Colleagues,
This Special Issue aims to showcase new advances and diverse approaches in artificial intelligence (AI) and mathematical methods for biomedical informatics, highlighting innovative and practical solutions that address the evolving landscape of biomedical research and healthcare. Advances in machine learning, deep learning, generative AI, and large language models are significantly reshaping medical imaging, disease diagnosis, drug discovery, genomics, personalized medicine, and clinical decision support. Persistent challenges in interpretability, data quality, ethics, and clinical integration underscore the need for interdisciplinary collaboration to ensure reliable and effective biomedical AI.
We particularly welcome research that demonstrates deployment impact or real-world applications, emphasizing the translation of theoretical advances into practical biomedical informatics strategies. We invite submissions that explore theoretical foundations, mathematical modeling, computational techniques, and practical implementations supporting biomedical data analysis and healthcare outcomes. The goal is to foster collaboration among mathematicians, computer scientists, engineers, practitioners, and biomedical researchers to advance intelligent, deployable biomedical informatics techniques.
Topics of interest include, but are not limited to, the following:
- AI and machine learning methods for biomedical data analysis, including medical imaging, signal processing, and multimodal health data.
- AI-assisted disease diagnosis, prognosis, and clinical decision support systems.
- Precision medicine and personalized healthcare enabled by AI technologies.
- AI applications in genomics, proteomics, bioinformatics, and drug discovery.
- Generative AI and large language models for mental health, psychological modeling, and cognitive health applications.
- Ethical, explainability, trust, and integration issues in biomedical and mental health AI systems.
- Mathematical frameworks underpinning AI techniques in biomedicine.
- Innovative AI/ML algorithms for biomedical applications, such as optimization, statistical learning, and computational models.
- Use of graph neural networks and topological data analysis for biomedical data correlation and pattern discovery.
- Explainable and interpretable deep learning models for transparent biomedical systems.
- Real-time biomedical data analysis frameworks deployable in edge or distributed computing environments.
- Mathematical approaches for benchmarking, evaluation metrics, and uncertainty quantification in biomedical AI performance.
- Case studies exploring deployment, challenges, or societal, organizational, and policy-level impact.
Researchers and professionals working at the intersection of artificial intelligence, biomedical informatics, and related disciplines are encouraged to submit their contributions. Selected papers will provide new insights into detection accuracy, system resilience, and practical improvements for real-world applications using AI and mathematical methods.
Dr. Fan Wang
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 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
- artificial intelligence
- biomedical informatics
- machine learning
- generative Ai
- clinical decision support
- precision medicine
- mathematical modelling
- data analysis
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.
