Cancers, Volume 14, Issue 12
2022 June-2 - 218 articles
Cover Story: Recently, radiogenomics, a combination of “Radiomics” and “Genomics”, has played a significant role in and offered a new understanding of cancer’s biology and its behavior in response to standard therapies. It also provides a more precise prognosis, investigation, and analysis of a patient’s cancer. Over the years, artificial intelligence (AI) has provided significant strength to radiogenomics. It syndicates large-scale quantifiable data from radiological medical images enveloped with personalized genomic phenotypes and fabricates a prediction model through various AI methods to stratify patients’ risk, monitor therapeutic approaches, and assess clinical outcomes. This review offers the computational and oncological prospects, achievements, and limitations of AI in radiogenomics studies on cancer in the era of precision medicine. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
- You may sign up for email alerts to receive table of contents of newly released issues.
- PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.