This is the official blog spot of the DESIREE project, an ambitious collective effort to make a difference from an innovation standpoint for a great cause.
On this blog we will be sharing experiences and views relevant to our work from different and variant perspectives and will be anticipating your comments and respective opinions.
Regarding our work, the DESIREE project aims to provide a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of Primary Breast Cancer by specialized Breast Units, from diagnosis to therapy and follow-up.
If this technical terminology sound unfamiliar, just remember that breast cancer is the most common and most deadly type of cancer affecting woman in the EU countries, with more than 460,000 new cases and 130,000 deaths in 2012 (EUCAN2). And just think of DESIREE as a working group put together in order to provide decision support on the available therapy options going beyond the limitations of existing guideline-based decision support systems (DSS).
We believe in strength in numbers and a multidisciplinary approach. That’s why we built a team with partners from around the world with complementary expertise and cross-functional skills.
On one hand, the consortium includes technical experts in image analysis (ARIVIS, ERESA, Ulster University, Vicomtech-IK4), biology and genetics (ERESA, Sistemas Genómicos), predictive modelling (Medical Innovation and Technology, Sistemas Genómicos, University of Houston), decision support systems (INSERM-LIMICS, Ulster University, Vicomtech-IK4), visualization (ARIVIS, Ulster University, Vicomtech-IK4,) and software development in the clinical domain (ARIVIS, BILBOMATICA).
On the other hand, it includes experts in all fields related to oncology, including end users with expertise in health technology assessment and validation for radiology (ERESA), decision support systems (ERESA, Hôpital Tenon, Onkologikoa) and breast surgery (University of Houston).
In developing this project we would like to provide our impressions and share some of our knowledge in subjects related to these developments in a more informal and interactive manner such as: consortium members and their expertise, trends in diagnosis and treatment of breast cancer, applications of ICT technologies to this domain, decision support systems for breast units, computational and predictive modeling, other subjects that may be of interest for our readers, etc.
To sum up, since multidisciplinary interaction is well built within our structure, we will be welcoming your contribution.
So, feel free to interact!
The DESIREE consortium
DESIREE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690238.