SummaryThe interaction between implementation of new technologies and different outcomes can allow a broad range of researches to be expanded. The purpose of this paper is to introduce the VAlidation of high TEchnology based on large database analysis by learning machine (VATE) project that aims to combine new technologies with outcomes related to rectal cancer in terms of tumor control and normal tissue sparing. Using automated computer bots and the knowledge for screening data it is possible to identify the factors that can mostly influence those outcomes. Population-based observational studies resulting from the linkage of different datasets will be conducted in order to develop predictive models that allow physicians to share decision with patients into a wider concept of tailored treatment.
KeywordSOver the past decade, remarkable advances in cancer care with the adoption of newest diagnostic and treatment technologies has created new challenges [1].The use and role of medical imaging technologies in clinical oncology has greatly expanded from a primarily diagnostic tool to award a central role in the context of individualized medicine. Multiple imaging features involving descriptors of intensity distribution, spatial relationships between the various intensity levels, texture heterogeneity patterns, descriptors of shape and the relations of the tumor with the surrounding tissues have been analyzed for their relationship with treatment outcomes or
Practice points• Progress in individualized medicine has created new challenges.• New technology implementation.• Necessity to develop systems that allow shared decision making by the physicians and the patients and chose a tailored treatment.• Standardization of the data collection -ontology.• Sharing data: Semantic Web and Resource Description Framework.• Statistical analysis.• Privacy protection of individual patients.• Development of predictive models based on individual patients features which complement existing consensus or guidelines.For reprint orders, please contact: reprints@futuremedicine.com