Computational Approaches in Breast Cancer Diagnosis and Prognosis
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Physiology and Pathology".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 84
Special Issue Editors
Interests: bioinformatics; machine learning; artificial intelligence; evolutionary algorithm
Special Issue Information
Dear Colleagues,
Breast cancer remains one of the leading causes of cancer-related deaths worldwide, posing significant challenges in diagnosis, prognosis, and clinical decision-making. The complexity and heterogeneity of breast cancer-related data, which includes genomic, transcriptomic, clinical, and imaging datasets, further complicate their analysis and direct application in clinical settings. However, recent advancements in computational methodologies have revolutionized medical data analysis, presenting groundbreaking opportunities to enhance breast cancer diagnosis, prognosis, and treatment strategies.
This Special Issue aims to explore the application of advanced computational techniques in breast cancer prediction, early detection, biomarker discovery, and cancer progression modeling. We invite contributions that employ novel machine learning (ML), deep learning (DL), metaheuristic algorithms, network analysis, statistical modeling, and data fusion techniques across diverse breast cancer data, with the goal of improving diagnostic accuracy and prognosis.
Key topics include, but are not limited to:
- Development of computational models for breast cancer diagnosis and prognosis.
- Techniques for integrating and analyzing genomic, clinical, and imaging data.
- Advancements in ML and DL algorithms to enhance prediction accuracy.
- Identification and validation of biomarkers for early detection and prognosis.
This Special Issue serves as a platform to foster collaboration and advance computational methodologies in breast cancer research, ultimately improving patient outcomes and contributing to the future of personalized medicine.
Dr. Elham Pashaei
Dr. Jun Wan
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. Life 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 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
- bioinformatics
- machine learning
- artificial intelligence
- breast cancer
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.
