Engineering Innovation in
E-Health
A research project creating a bio-bank to train artificial intelligence algorithms and support fight against cancer.
Approach & Solution
Approach
In the countries of the OECD area, cancer is the second leading cause of death. In Italy every day more than 1,000 new cases are diagnosed.
Early diagnosis, that is the identification of the disease before it manifests itself, is fundamental. It is time that the one-size-fits-all screening approach, in which everyone takes the same test starting from the same age and with the same interval, is replaced by a personalized screening approach.
Considerable progress has been made in early diagnosis, but there is still a long way to go, to recognize a larger number of cancers and to distinguish between aggressive froms from indolent ones.
The AiBiBank project fits into the context of predictive diagnostics and precision medicine by integrating bio-technology and clinical and IT skills.
Early diagnosis, that is the identification of the disease before it manifests itself, is fundamental. It is time that the one-size-fits-all screening approach, in which everyone takes the same test starting from the same age and with the same interval, is replaced by a personalized screening approach.
Considerable progress has been made in early diagnosis, but there is still a long way to go, to recognize a larger number of cancers and to distinguish between aggressive froms from indolent ones.
The AiBiBank project fits into the context of predictive diagnostics and precision medicine by integrating bio-technology and clinical and IT skills.
Solution
To enable the collection and organization of medical images and clinical data, Engineering designed and developed a technological and regulatory infrastructure, Data Lake.
The data collected will be used to develop innovative tools to support doctors' decisions in the fight against cancer.
In particular, the system will use Artificial Intelligence techniques to provide two demonstrators in the field of breast screening and prostate oncology. The project will be carried out by a consortium of private partners and hospitals. The project has received co-funding from POR FESR Piemonte 2014-2020 - ASSE I - AZIONE I.1b.2.2. and has among its members: Health Triage (lead partner), Engineering, Medas, Lattanzio KIBS, AOU Città della Salute e della Scienza di Torino, Fondazione del Piemonte per l’Oncologia di Candiolo - FPO – IRCCS.
The data collected will be used to develop innovative tools to support doctors' decisions in the fight against cancer.
In particular, the system will use Artificial Intelligence techniques to provide two demonstrators in the field of breast screening and prostate oncology. The project will be carried out by a consortium of private partners and hospitals. The project has received co-funding from POR FESR Piemonte 2014-2020 - ASSE I - AZIONE I.1b.2.2. and has among its members: Health Triage (lead partner), Engineering, Medas, Lattanzio KIBS, AOU Città della Salute e della Scienza di Torino, Fondazione del Piemonte per l’Oncologia di Candiolo - FPO – IRCCS.
Results
Centralized tissue biobank
Data Lake and digital images
AI technology used for screenings
Business Model for the exploitation of data
Project value
Innovation
Enabling Technologies
AI & Advanced Analytics
Project Team
Research & Innovation