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Rethinking Cancer Epidemiology, Aging and Machine Learning

This special issue belongs to the section “Cancer Epidemiology and Prevention“.

Special Issue Information

Dear Colleagues,

With increasing life expectancy and aging, cancer control becomes urgent for equitable and optimal health outcomes. To allow all populations to benefit from cancer research, we need to expand cancer surveillance and timely reporting. Thus, artificial intelligence and machine learning can help advance the identification of avoidable and modifiable risk factors and improve tailored cancer therapy. In this Special Issue, we bring bright minds from across various disciplines together to overcome the barriers of cancer. We include health equity, minorities, community partners, and daily practitioners to engage with the integral cancer-health equity in an aging population.

Dr. Nicolai E. Savaskan
Guest Editor

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-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

  • cancer epidemiology
  • aging
  • cancer control
  • artificial intelligence
  • machine learning
  • cancer-health equity

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Cancers - ISSN 2072-6694