Cancer Biology: Machine Learning and Bioinformatics
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Bioinformatics and Systems Biology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 2
Special Issue Editors
Interests: biochemistry; circular bioeconomy; rare diseases; system biology
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; structural biology; big data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: biochemistry; circular bioeconomy; rare diseases; artificial intelligence; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advances in machine learning and bioinformatics are significantly impacting the field of cancer biology, providing powerful tools to analyse complex molecular data and identify novel therapeutic targets. These approaches offer valuable insights into multi-omics layers, supporting the development of more accurate diagnostic models and personalised treatment strategies.
This Special Issue will highlight innovative research interconnecting computational science and oncology. We invite contributions that focus on algorithm development, multi-omics investigations, predictive modelling, and machine learning applications, all of which will enhance our understanding of cancer mechanisms and inform clinical decision-making.
Furthermore, particular emphasis will be placed on works that utilise interdisciplinary collaboration and clear translational potential, as collaborative efforts between computational scientists and clinicians can bridge the gap between algorithmic innovations and practical implementations, ensuring that these technological advancements translate into real benefits for cancer patients.
We welcome original research, comprehensive reviews, and forward-looking perspectives from investigators across different disciplines.
Prof. Dr. Annalisa Santucci
Dr. Ottavia Spiga
Dr. Anna Visibelli
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. Biomolecules 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
- cancer biology
- bioinformatics
- machine learning
- big data
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