Novel Approaches to Machine Learning and Artificial Intelligence in Cancer Research and Care

Dear Colleagues,

This Special Issue of Cancers will highlight cutting-edge research addressing new strategies to improve the performance and safe clinical translation of machine learning (ML) and artificial intelligence (AI) approaches to oncology research and care. Specifically, we aim to address four key elements of AI/ML development and implementation that will help cancer discovery to drive clinical impact: data, models, evaluation, and systems. Topics of interest in data may include new standards for data quality and provenance, and opportunities around the inclusion of metadata in model development and implementation; Topics of interest in models may include efficient and interpretable algorithms suitable for deployment in health systems; systems for deploying and monitoring algorithms to enable accelerated safe deployment across health systems. Regarding model evaluation, we welcome papers presenting new strategies for evaluating ML and AI through clinical trials or ensures the validity of text-generation tools. From a systems perspective, systems for deploying and monitoring algorithms in practice as well as approaches and standards for flagging model behaviors that may lead to unexpected outcomes are of interest.

Dr. Caroline Chung
Dr. Christopher Gibbons
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 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. Cancers 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 2900 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.