PRAGMA

Call Reference: 
sc1-dht-07-2018
Short description of project idea : 
Dementia is a health emergency, as today there is no cure really effective: available treatments help to relieve some of the symptoms, not being able to significantly affect the unbearable progression of the disease. However, in recent years, numerous studies have made it possible to better identify various risk factors for pathology (eg advanced age, family history, cranial traumas, lifestyles and various conditions of damage to blood vessels). In addition, recent meta-analysis estimates suggest that about one third of Alzheimer's disease cases could be attributed to potentially modifiable risk factors (Norton et al., 2014). The PRAGMA project is based on these premises, focusing on industrial interest to develop "processes and tools" for the benefit of all subjects involved in the clinical and healthcare cycle (citizen, basic medicine and specialist medicine). Nevertheless, through the aim of the identification of supporting tools and associated methods, the project aims to support the action of regions in the implementation of specific dementia plans. The innovative factor enabling this project is to be sought in technologies: this action is focused on the possibility to identify, those at risk for a particular pathology through new methods and analytical tools made available thanks to the potential offered by new technologies (eg "machine learning" and "big data analysis"). The evaluation process will take into account the increased availability of data both on a regional basis (Regional Health System and specialist clinics) and on an international basis, through access to "open data" credited and available by the international scientific community with a depth of several decades old.
Health
Main objectives of the project and how will they be achieved: 
Title: 
Prediction Related Groups
Description: 
To support prevention strategies based on Prediction Retated Groups (PRG) through new in-silico methods and new analytical tools enabled by cloud-based technologies (eg "machine learning" and "big Data analysis "). These tools will operate on available data both in the context of existing Health System than on an international basis through access to accredited "open data" made accessible to the international scientific community. Context of application will be the individuals at risk in specific neurological diseases.
Challenges that may determine the impact of the project: 
Title: 
Models of prevention
Description: 
From the point of view of innovation, the impact will refer to the definition of a model (prospective and retrospective) to research the risk factors associated to dementia, starting from the health data already available on Regional territory, Integrated with open data available on the subject. The model will be validated on a specific pathology and then extended to other dementias, whose early identification (ie preclinical) is the basis of all innovative therapeutic strategies.
Title: 
Industrial Innovation
Description: 
From an industrial point of view, the development of a Declinable Prevention Support System at various levels of use (citizen / caregiver, General Practitioner, Specialist Physician and Region) represents an innovative challenge given the different levels of information and enjoyment. Such a service is now absent on the national market and would bring countless benefits both on the clinical (for the individual) and socio-economic (for the community).
Title: 
Health system
Description: 
From a health system point of view, the impact concerns the possibility offered to a Region to experimentally implement an instrument to support the implementation of the prevention policies envisaged by National Plans, developing a model for clustering of at-risk citizens (Prediciton Related Group), based on the knowledge of clinical and behavioral history (taken from the Regional DataWarehouse), evaluated according to the pathology progression in the reference cluster (derived from the "open data" of the international pathology networks).
Title: 
Clinical viewpoint
Description: 
From a clinical point of view, the citizen would benefit from an early-warning and early diagnosis service capable of addressing more relevant diagnostic options. The first point of contact with the project is represented by Territory Medicine, which will be provided with the "first level identification dashboards" of the risk subjects. The second point of contact is represented by specialized medicine, which will be provided with "second level classification dashboards" which, by integrating health information in the possession of spatial medicine with specialized information flows (eg clinical record, imaging, genetic analysis and Behavioral) will allow you to proceed with early diagnosis actions, supported by projection of the pattern of pathology characteristic of your cluster belonging.
Partners that have already expressed interest in the project and expected role: 
Title: 
Pavia Univerisity
Description: 
The University of Pavia will participate in the project through the CHT (Center for Health Technologies). The main purpose of CHT is to provide technology solutions in the following biomedical areas: Cellular Regeneration and Cellular Therapy, Diagnostics, Surgery and Prosthesis, Rehabilitation, Personalized Medicine. R & D experiences in the field: the main research lines in this field concern biomedical computer science and major data for translational medicine, legal, ethical and socio-technical aspects of new technologies in medicine. http://www.labmedinfo.org/
Title: 
BV tech
Description: 
Design, realization and operation of ICT systems and related services. Project activities: statistical analysis, Data Fusion, Clinical Big Data and Analytics, C-DSS. http://www.bv-tech.it/en/
Profile of partners sought and expected role: 
Title: 
Regions
Description: 
Regions willing to deply Dementia Plan, providing oaccess to open data on stratified population
Title: 
Neurological Scientific communities
Description: 
Scientific communities working on models of prevention in neurological diseases
Previous, relevant EU project experience: 
Title: 
Bio-informatics
Specific countries/regions/cities you are keen to collaborate with: 
Milano
First Name: 
MASSIMO
Last Name: 
CAPRINO
Name of the organisation: 
CASA DI CURA DEL POLICLINICO

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