Recent Advances in Biomedical Data Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 25 November 2025 | Viewed by 386
Special Issue Editor
Interests: image processing; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biomedical data analysis is one of the most important branches of science, combining several fields of knowledge, such as biology, chemistry, medicine, and mathematics, among others. Conducting research in this area can help us to diagnose and treat diseases much more efficiently than by using traditional methods. This Special Issue explores the publication of new methodologies, which can be based on AI, that will help us implement effective solutions for the benefit of humanity.
For example, treating diseases by identifying malignant tumors in the breast, skin or any other part of the human body, as well studying resistance to certain types of antibodies, remains a challenge. Similarly, the study of proteins to develop vaccines or treat certain potentially congenital diseases is a significant issue that remains to be solved.
Scientific research within these diverse topics can lead to the development of new methodologies for data analysis in the field of biomedicine.
Data analysis in this field can lead to the development of new AI algorithms that can more efficiently solve biomedical problems.
Prof. Dr. Josué Álvarez Borrego
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- algorithms
- image analysis
- pattern recognition
- data analysis
- biomedicine
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