Cancer Omics: Novel Insights and Emerging Diagnostic and Therapeutic Strategies
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Bioinformatics and Systems Biology".
Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 13667
Special Issue Editor
Special Issue Information
Dear Colleagues,
Multi-omics technologies are expediting the paradigm shift from traditional evidence-based medicine to precision medicine. The former is a mode based on the large population-level averaging of genotype-phenotype interactions, while the latter is focused on the deep phenotyping of personalized multi-omics data for precision diagnosis, prognosis, and treatment.
Translational informatics is a multidisciplinary field involving the mining of data collected at multi-omics levels and integrating chemical informatics, bioinformatics, and medical informatics to promote translational research. We are facing many challenges in the translation of data-intensive scientific discovery to clinical and healthcare applications in cancer medicine, such as the standardization of diverse data, preserving the privacy of the shared data, systems-level integration, and explainable artificial intelligence modeling.
This Special Issue will focus on informatics for the integration and modeling of diverse data at the molecular, cellular, tissue/organ, and patient levels to discover the patterns hidden in the data or to establish and apply the structured data for similarity identification in the data-driven diagnosis and treatment of cancers.
Dr. Bairong Shen
Guest Editor
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Keywords
- translational informatics
- ontology and knowledge graphs
- data sharing and privacy-preserving
- deep phenotyping
- explainable artificial intelligence
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