The purpose of deliverable 8.2 is to describe the data types pertinent for personalised medicine and the links between them. To do this, we first identified a concrete use case: acute myeloid leukemia and then identified the needs of the key stakeholders: physicians, clinical researchers, biomedical researchers, and patients. Guided by these needs we built a prototype data model for structuring, organising and annotating the patient data accordingly. The data model will form the basis for the prototype implementation of an IT solution for storing, management and querying of the personalised medicine data which will then be used to implement and demonstrate the personalised medicine informatics pipeline (deliverable 8.3). This report starts...
Item does not contain fulltextINTRODUCTION: Current guidelines for clinical biobanking have a strong...
"Personalised medicine is not yet fully implemented in healthcare developments, though the concept i...
As with many other aspects of the modern world, in healthcare, the explosion of data and resources o...
The purpose of D8.3 is to describe the prototype IT systems for storing, structuring as well as prov...
common solutions for a cluster of ESFRI infrastructures in the field of "Life sciences" De...
Personalised medicine involves new ways of classifying and stratifying people, in terms of both exis...
Modern medicine as well generates increasingly larger data quantities. Reasons for this comprise hig...
Personalized medicine is the natural evolution of medicine. More specific descriptions of diseases an...
Personalised Medicine has become a reality over the last years. The emergence of ‘omics’ and big dat...
Personalised medicine promises prediction, prevention and treatment of illness that is targeted to i...
Personalised modelling offers a new and effective approach for the study in pattern recognition and ...
The development of a prototype data model registry is the objective of BioMedBridges Deliverable 3.2...
Objectives: Biomedical Informatics as a whole faces a difficult epistemological task, since there is...
Copyright © 2015 Pedro Lopes et al. This is an open access article distributed under the Creative Co...
Human tissue biobanks are at the epicenter of clinical research, responsible for providing both clin...
Item does not contain fulltextINTRODUCTION: Current guidelines for clinical biobanking have a strong...
"Personalised medicine is not yet fully implemented in healthcare developments, though the concept i...
As with many other aspects of the modern world, in healthcare, the explosion of data and resources o...
The purpose of D8.3 is to describe the prototype IT systems for storing, structuring as well as prov...
common solutions for a cluster of ESFRI infrastructures in the field of "Life sciences" De...
Personalised medicine involves new ways of classifying and stratifying people, in terms of both exis...
Modern medicine as well generates increasingly larger data quantities. Reasons for this comprise hig...
Personalized medicine is the natural evolution of medicine. More specific descriptions of diseases an...
Personalised Medicine has become a reality over the last years. The emergence of ‘omics’ and big dat...
Personalised medicine promises prediction, prevention and treatment of illness that is targeted to i...
Personalised modelling offers a new and effective approach for the study in pattern recognition and ...
The development of a prototype data model registry is the objective of BioMedBridges Deliverable 3.2...
Objectives: Biomedical Informatics as a whole faces a difficult epistemological task, since there is...
Copyright © 2015 Pedro Lopes et al. This is an open access article distributed under the Creative Co...
Human tissue biobanks are at the epicenter of clinical research, responsible for providing both clin...
Item does not contain fulltextINTRODUCTION: Current guidelines for clinical biobanking have a strong...
"Personalised medicine is not yet fully implemented in healthcare developments, though the concept i...
As with many other aspects of the modern world, in healthcare, the explosion of data and resources o...