Artificial Intelligence: A Possible 'Game Changer' in the Fight Against Cancer
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Oncology".
Deadline for manuscript submissions: 30 June 2026
Special Issue Editor
Interests: cancer research; anticancer drug development; mouse models of cancer; xenografts; cell culture; natural products; small molecules
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Despite significant progress in cancer biology and therapy, particularly since the advent of immunotherapy, cancer remains one of the world's leading causes of death, ranking second only to cardiovascular diseases. According to the WHO, cancer is a group of over 100 diseases characterized by genetic heterogeneity, complex progression patterns, and frequent resistance to therapy. As such, a variety of technologies have been studied in the effort to discover optimal treatments for cancer. One such technology is artificial intelligence (AI). The concept of AI dates back to the 1950s, when pioneers such as Alan Turing, John McCarthy, and Marvin Minsky first proposed the idea of machines being able to simulate human reasoning. The explosion of 'omics' data (genomics, proteomics and metabolomics) in the first decade of the 21st century and advances in machine learning have enabled AI to reveal intricate biological patterns. Additionally, deep learning, fueled by GPU (graphics processing unit) computing, has had a transformative impact.
It is now a well-established fact that AI's ability to detect patterns and learn from large, multidimensional datasets has transformative potential. While AI will not replace human expertise, it will increasingly serve as a catalyst, enabling earlier detection, more precise therapies, and, ultimately, improved survival rates and quality of life for patients with cancer.
In this context, the objective of this Special Issue is to compile and present the latest knowledge and developments concerning the role of AI in cancer biology, drug discovery, drug repurposing, diagnosis and detection, treatment optimization, clinical practice, and patient support, as well as the broader impact of AI in this field. Original research articles, reviews, commentaries, and other types of articles that contribute to the field are welcome.
Dr. Konstantinos Dimas
Guest Editor
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Keywords
- artificial intelligence
- cancer biology
- drug discovery and repurposing
- diagnosis and detection
- treatment optimization
- clinical practice and patient support
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