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Artificial Intelligence and Machine Learning in Cancer Research

Special Issue Information

Dear Colleagues,

In the near future, Artificial Intelligence and machine learning are poised to radically transform cancer care. Current research in the field of machine learning applied to oncology includes cancer screening through image analysis with deep learning, automated pathology and diagnosis, prognosis prediction and treatment personalization, drug discovery and automated treatment planning.

In this Special Issue, we invite teams working on applied AI to submit their latest and most significant research in this area. Beyond this, teams exploring interpretability and expert-augmented machine learning are invited to contribute to this new Special Issue. Studies describing new datasets and new methods are welcome. Datasets and code availability are strongly encouraged.

Dr. Jean-Emmanuel Bibault
Dr. Lei Xing
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 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. 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.

Keywords

  • Machine learning
  • Artificial Intelligence
  • Automation
  • Prediction
  • Drug discovery

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Published Papers

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Cancers - ISSN 2072-6694Creative Common CC BY license