From Biobanking to Artificial Intelligence for Personalized Medicine of Cancer Therapy
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 16552
Special Issue Editors
Interests: biomarker discovery; cancer biomarkers; decision support Systems; predictive medicine; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
2. Department of Human Sciences and Promotion of the Quality of Life, San Raffaele Roma Open University, 00166 Rome, Italy
Interests: biomarker discovery; decision support systems; predictive medicine; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As we enter the era of precision medicine, biobanking is increasingly recognized as a key area for health care development, and biobanks are no longer considered just sites for the cold storage of biospecimens, but also as data repositories, treasures of information often unrecognized. The development of high-throughput, data-intensive biomedical research assays and technologies, in fact, has greatly contributed to a substantial shift from the concept of simple biobank toward a real databank.
On the one side, this has led to increased attention to data management and data sharing, as access to scientific data is fundamental for validation of research results, enabling researchers to combine data to strengthen analyses or to facilitate the reuse of hard-to-generate data. Sharing, however, requires that ethics and privacy issues are respected, and that confidential/proprietary data are appropriately protected.
On the other hand, the massive amounts of collected data have posed new challenging possibilities in terms of data management/analysis, as they exceed the concept of "statistical sampling" in favor of artificial intelligence (AI) techniques for the construction of predictive models. AI can play, indeed, an important role in the field of personalized medicine, but we must not forget that its ability will critically depend on the ways of storing, aggregating, accessing and ultimately integrating the available data.
This Special Issue will focus on recent advances in the field of biobanking and biospecimen research and the application of AI techniques in the field of personalized medicine for cancer therapy. Emphasis will be put on ethics and privacy issues on data management and data sharing policies of cancer therapy.
Prof. Dr. Fiorella Guadagni
Prof. Dr. Patrizia Ferroni
Guest Editors
Manuscript Submission Information
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Keywords
- cancer therapy
- biobanks
- data science
- data management
- artificial intelligence
- decision support systems
- predictive medicine
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