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Topic: Artificial Intelligence in Cancer Treatment and Prediction

A special issue of Journal of Cancer Metastasis and Treatment

ISSN 2454-2857 (Online), ISSN 2394-4722 (Print)

Submission deadline: 31 Mar 2023

Guest Editor(s)

  • Prof. Lucio Miele
    Department of Genetics, Louisiana State University Health Sciences Center New Orleans, LA, USA.

    Website | E-mail

  • Prof. Jake Chen
    Department of Computer Science, and Biomedical Engineering at the University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA.

    Website | E-mail

  • Prof. Ciro Isidoro
    Department of Health Sciences, Università del Piemonte Orientale "A. Avogadro", Novara, Italy.

    Website | E-mail

Special Issue Introduction

Globally, cancer ranks among the most common causes of death, and the incidence of malignancies is increasing due to improved diagnostic accuracy and environmental and dietary changes associated with economic development. With this burden rapidly increasing globally, utilizing prediction tools to assist decision-making and encourage individualized treatment planning is gradually becoming paramount in cancer diagnosis and management.

Advances in computer science and imaging systems have led to the increasing use of artificial intelligence (AI) in the clinical diagnosis, treatment and prediction of cancer. These applications range from detection and classification of cancer, to molecular characterization of tumors and their microenvironment, to drug discovery and repurposing, to predicting treatment outcomes for patients.

AI is rapidly reshaping cancer research and personalized oncology care. The availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led to an explosion of AI use in various aspects of cancer research. As these advances enter clinical practice, we foresee a shifting paradigm of cancer care, which AI strongly drives. For this reason, the special issue of "Artificial Intelligence in Breast Cancer Diagnosis, Treatment and Prediction" is launched to discuss current developments, future perspectives and challenges facing the integration of AI into cancer care and research.

Submission Deadline

31 Mar 2023

Submission Information

Articles of special issue are free of charge for article processing.
For Author Instructions, please refer to
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Submission Deadline: 31 Mar 2023
Contacts: Gladys Di, Assistant Editor,

Published Articles

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