Trends in Precision Oncology from Data Science
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Oncology".
Deadline for manuscript submissions: closed (31 January 2019)
Special Issue Editor
Interests: complexity in biomedicine; big data in health; systems medicine; precision medicine; translational medicine; cancer networks; comorbidity; theranostics; digital biomarkers; computational bio-imaging
Special Issue Information
Dear Colleagues,
The new developments in Precision Oncology depend on a few commonly-accepted factors:
- Access to Big Data resources, such as large repositories of molecular profiles, genetic information, electronic health records;
- Annotated bio-banks with biological samples associated to clinical information;
- Drug banks designed to perform computational repositioning and enabling targeting by proteins, peptides, small molecules, monoclonal antibodies;
- Bio-imaging repositories
All such domains present complexities that need to be addressed by the next generation of computational methods and developments appearing from the emerging Data Science field.
This call is specifically addressing these needs, and invites contributions targeted to the design, implementation, application and utilizations of technologies and methodologies relevant to Precision Oncology. Prevention, diagnostic, therapeutic focus will be given equal consideration.
The submission deadline for abstract is 28 February 2018, while for full manuscript is 30 June 2018.
Dr. Enrico Capobianco
Guest Editor
Manuscript Submission Information
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Keywords
- Precision Medicine
- Big Data
- Machine Learning
- Bioinformatics
- Analytics
- Digital Health
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