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Artificial Intelligence in Cancer, Biology and Oncology

A printed edition is available here.
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Dear Colleagues,
Cancer is the second leading cause of death worldwide. According to the World Health Organization (WHO), around 10 million people died from cancer globally in 2020. Early detection of cancer is of utmost importance for the effective treatment and prevention of the spread of cancer cells to other parts of the body (metastasis). Artificial intelligence (AI) has been revolutionizing discovery, diagnosis, and treatment designs. It can aid not only in cancer detection but also in cancer therapy design, identification of new therapeutic targets with accelerating drug discovery, and improvements to cancer surveillance when analyzing patient and cancer statistics. AI-guided cancer care could also be effective in clinical screening and management with better health outcomes. The machine learning (ML) algorithms developed based on biological and computer sciences can significantly help scientists in facilitating the discovery process of biological systems behind cancer initiation, growth, and metastasis. They can be also used by physicians and surgeons in effective diagnosis and treatment design for different types of cancer and for biotechnology and pharmaceutical industries in carrying out more efficient drug discovery.
Dr. Hamid Khayyam
Prof. Dr. Ali Hekmatnia
Dr. Rahele Kafieh
Topic Editors
Participating Journals
Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC |
---|---|---|---|---|---|
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Biology
|
3.6 | 5.7 | 2012 | 16.4 Days | CHF 2700 |
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Cancers
|
4.5 | 8.0 | 2009 | 17.4 Days | CHF 2900 |
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Current Oncology
|
2.8 | 3.3 | 1994 | 19.8 Days | CHF 2200 |
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Diagnostics
|
3.0 | 4.7 | 2011 | 20.3 Days | CHF 2600 |
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Onco
|
- | - | 2021 | 27.8 Days | CHF 1000 |
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Journal of Clinical Medicine
|
3.0 | 5.7 | 2012 | 16 Days | CHF 2600 |
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