Project description
Aiding pancreatic cancer detection and intervention through artificial intelligence
Pancreatic cancer is rarely detected during its early stages, when it is most curable, mainly due to the lack of symptoms. This necessitates the use of novel methods to support early detection, risk mitigation and decision support towards optimised interventions. The EU-funded iHELP project will design a cutting-edge decision support suite incorporating artificial intelligence-based risk identification and mitigation methods to assist in the fight against pancreatic cancer. It will analyse historical data in detail, identifying primary risk factors while raising awareness and providing ongoing risk management by exploiting data obtained through various wearable devices. The goal is to provide near real-time risk assessment, significantly aiding detection, prevention and treatment.
Objective
The specific focus of iHELP is on early identification and mitigation of the risks associated with Pancreatic Cancer based on the application of advance AI-based learning and decision support techniques on the historic (primary) data of Cancer patients gathered from established data banks and cohorts. This analysis helps to (i) determine key risks associated with Pancreatic Cancer, (ii) develop predictive models for identified risks, and (iii) develop adaptive models for targeted prevention and intervention measures. Based on these developments, the project selects high-risk individuals that are invited to take part in the pilot activities or digital trials. The digital trials are carried out through user-centric mobile and wearable applications that apply proven usability principles to offer more awareness, more engaging experience for health monitoring, risk assessment and personalised decision support. Close collaboration between clinical and AI experts focus on drawing decision support against identified/predicted risks and providing personalised recommendations (e.g. lifestyle changes, behavioural nudges, screening test etc) to the participants in the digital trials. The iHELP (mobile and wearable) technology solutions help in validating iHELP solutions and raising health related awareness at individual level. The (secondary) data gathered through the mobile and wearable applications (concerning life style, behavioural, social interactions and response to targeted prevention and intervention measures) is integrated with primary data in the standardised HHR format – within a big data platform. Frugal AI-based learning techniques are developed to provide near real-time risk assessment based on the integrated and standardised HHR data. iHELP solutions are targeted at multiple stakeholders, including policymakers that will get decision support on the design of new screening programs and new guidelines for bringing improvements in clinical and lifestyle aspects.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
185 33 PIRAEUS
Greece
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Participants (17)
15233 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28223 POZUELO DE ALARCON MADRID
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4004 Plovdiv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
4002 Plovdiv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
Sofia
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1200 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00144 ROMA
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062204 Bucuresti
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46800 XATIVA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
CW8 4EE Northwich Cheshire
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
28040 Madrid
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M13 9PL Manchester
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00168 Roma
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03700 Denia-Alicante
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17177 Stockholm
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4002 Plovdiv
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11031 Taipei
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