Artificial Intelligence Applications in Precision Oncology

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".

Deadline for manuscript submissions: 25 January 2025 | Viewed by 133

Special Issue Editors


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Guest Editor
Department of Information Management, Fu Jen Catholic University, New Taipei City 24205, Taiwan
Interests: machine learning and its applications; medical/healthcare informatics; time-series data analysis; supply chain management; quality management
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Division of Hepatology and Gastroenterology, Department of Internal Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
Interests: hepatobiliary diseases; pancreatic diseases; gastroenterological endoscopy; medical informatics

Special Issue Information

Dear Colleagues,

Precision oncology is revolutionizing cancer care by tailoring treatment strategies to each patient's individual characteristics, including demographic, clinical, pathological, radiological, and genetic variables and molecular profiles, as well as other factors. These strategies have seen rapid advancement in recent years, generating vast numbers of complex data. As the complexity of patient data grows, the need for efficient tools to store, retrieve, and analyze them has become increasingly important. Artificial intelligence (AI) is rapidly evolving, offering techniques like data mining, machine learning, and deep learning that are gaining popularity in clinical applications. AI has unique capabilities for handling complex data, offering valuable benefits such as identifying patterns and making predictions that can aid in clinical decision-making. AI holds significant promise and can bring numerous benefits to the clinical field, particularly in precision oncology, due to its inherent complexity. However, a great deal of untapped potential remains to be explored in this area. This Special Issue of Journal of Personalized Medicine aims to provide a platform to highlight the applications of AI in precision oncology and foster a well-rounded understanding of how AI can be applied in precision oncology.

Prof. Dr. Chi-Jie Lu
Dr. Cheuk-Kay Sun
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. Journal of Personalized Medicine 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 2600 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

  • personalized medicine
  • artificial intelligence
  • targeted therapy
  • immuno-oncology
  • optimized therapies
  • cancer subtypes
  • cancer immunotherapy
  • precision medicine
  • machine learning
  • medical informatics

Published Papers

This special issue is now open for submission.
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