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image-Guided computational and experimental Analysis of fractured Patients

Project description

Training on bone fracture computational and experimental analysis

Age-related bone fractures are a primary health concern, leading to economic and psychosocial burdens, as well as increased morbidity and mortality. Current clinical tools can predict only about 70 % of fractures, highlighting the need for a deeper investigation into bone micro-architecture. With the support of the Marie Skłodowska-Curie Actions programme, the GAP project aims to improve fracture risk indicators and enable more accurate diagnoses of bone conditions. The project will provide engaging, multidisciplinary training for understanding and treating bone fractures, educating young scientists in advanced experimental and numerical methods for the early and precise detection, as well as minimally invasive treatment, of bone fractures while exploring micro-scale changes caused by pathologies.

Objective

Age-related bone fractures are a major health concern, resulting worldwide in high economic and psycho-social burden, morbidity and increasing mortality. With aging and in presence of bone pathologies, human bone becomes more brittle and prone to damage. A disruptive clinical hypothesis considers Covid-19 virus as an additional contributing factor in bone deterioration. At the macro-scale, the identification of fragility is assured by the clinical practice: common clinical tools, however, are able to predict only 70% of fractures. For this reason, a deep investigation of the bone micro-architecture would be a fundamental hint for the comprehension of damage mechanisms, improving the reliability of fracture risk indicators and performing more accurate diagnosis of bone pathologies. This knowledge level goes beyond the current state of the art and this is where GAP comes into play, providing attractive, multi-disciplinary and versatile training strategies for multi-scale comprehension, detection and patient-specific treatments of bone fractures. The over-arching aim of GAP proposal is to educate young and talented scientists towards a combined high-level experimental and numerical approach for the early-stage accurate, precise detection and mini-invasive treatments of bone fractures, shedding some light on bone micro-scale alterations due to pathologies. The inter-disciplinary findings, that exploit cutting-edge multi-scale imaging facilities and advanced artificial intelligent-based strategies, will be a crucial aspect in the training of skilled researchers and will enable Europe to overcome the silent paralysis of its healthcare system.

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Topic(s)

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HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-DN-01

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Coordinator

POLITECNICO DI MILANO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 518 875,20
Address
PIAZZA LEONARDO DA VINCI 32
20133 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
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Total cost

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Participants (8)

Partners (4)

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