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Content archived on 2024-06-18

VPH based predictive model for oral cancer reoccurrence in the clinical practice

Project description


Personalised Health, active ageing and independent living
OraMod project: Helping clinicians predict oral cavity cancer reoccurrence

Genomic markers and computer models can predict the reoccurance of oral cavity cancer. But these innovative diagnostic technologies are currently stuck in labs and are not being used by clinicians in hospitals. The EU-funded project OraMod, led by the University of Parma, aims to solve this problem by building an IT platform and a diagnostic device.

Clinical oncology is undergoing a profound transformation, driven by the availability of new diagnostic technologies, novel techniques for bio-molecular and genomic tests aimed at predictive markers discovery, smart mathematical and statistical algorithms for disease modelling and prediction simulation, powerful computing for data mining and data analysis on large datasets of heterogeneous data. The approach to care delivery is also shifting from treatment administration to treatment planning, supported by predictive modelling. OraMod perfectly fits in this scenario: the project converges the technology and scientific breakthrough from research into clinical practice by developing a novel, modular and integrated ICT environment aimed at supporting key aspects of the clinical management of oral cavity cancer patients. OraMod focuses on the integration of data, medical knowledge, multi-disciplinary collaborative best clinical practices and cutting-edge technologies, including modelling, in-silico simulation, and decision support aimed at early and precisely predict oral cancer reoccurrence. In so doing the project addresses urgent clinical and societal needs: better clinical decisions regarding treatment and follow-up, reduced costs, and benefits for patients from reduced post-treatment morbidity. Building from previous ICT-224483 NeoMark, OraMod will combine a predictive model relying on a variety of data collected and managed in the system repository, with decision support and in-silico simulation tools, an interactive Knowledge Assisted Visualization in line with the "Digital Patient" paradigm, a collaborative working space to support multi-disciplinary decision-making, a sophisticated suite for diagnostic image analysis and features extraction and a qRT-PCR device and lab-on-chip for fast, precise, quantitative detection of the genomic markers included in the model. A clinical trial in four European pilot hospitals will demonstrate tangible clinical benefits.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Call for proposal

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FP7-ICT-2013-10
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Funding Scheme

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CP - Collaborative project (generic)

Coordinator

UNIVERSITA DEGLI STUDI DI PARMA
EU contribution
€ 519 400,00
Address
VIA UNIVERSITA 12
43121 PARMA
Italy

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Region
Nord-Est Emilia-Romagna Parma
Activity type
Higher or Secondary Education Establishments
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Total cost

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Participants (9)

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