Меню
КартаВръзкиТемиБългарияНощта (K-TRIO)Мария Склодовска-КюриЗа ученициЗа учителиМетодологияИзненадай ме
HEДокторантска мрежа2023–2028

GAP · image-Guided computational and experimental Analysis of fractured Patients

„Хоризонт Европа“ — Действия „Мария Склодовска-Кюри“

Период
2023-10-01 → 2028-05-31
Финансиране от ЕС
2 679 934 €
Участници
13
Схема
HORIZON-TMA-MSCA-DN

Линиите свързват координатора с партньорите.

Накратко на български

Микроструктурата на костите и ранните повреди в тях се анализират чрез високоразрешаващи изображения и изкуствен интелект. Това помага за по-точното откриване на риск от фрактури, преди те да се случат, и подобрява диагностиката при пациенти с остеопороза.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

image-Guided computational and experimental Analysis of fractured Patients

Bone fractures, particularly those related to bone fragility, represent a growing challenge for European societies. Increasing life expectancy and age-related conditions such as osteoporosis are driving a rise in fragility fractures, which often result in pain, long recovery periods, loss of independence and reduced quality of life. These injuries also place a substantial burden on healthcare systems and public finances. Despite advances in imaging and treatment, fractures are frequently detected too late, and current diagnostic tools remain limited in accurately predicting fracture risk. The GAP project (image-Guided computational and experimental analysis of fractured Patients) was designed to address this urgent medical and societal need. Its central aim is to improve how fractures are understood, detected and treated by focusing on bone damage at very small scales, well before complete fractures occur. Bone strength depends not only on shape and density but also on its complex internal micro-architecture, which is largely invisible to standard clinical diagnostics. To overcome this limitation, GAP integrates advanced imaging, experimental testing, computational modelling and artificial intelligence within a single research and training framework. Bone damage is studied across multiple length scales using high-resolution imaging combined with mechanical testing under realistic conditions, and the resulting observations are translated into numerical and data-driven tools to identify early damage and fracture risk patterns. In parallel, GAP trains a new generation of highly skilled researchers through an international doctoral network that bridges engineering, biomedical sciences, computer science and clinical research. This interdisciplinary approach prepares young scientists to translate research outcomes into practical solutions. Beyond diagnosis, the project also explores bone-inspired, mini-invasive and patient-specific repair strategies, with the potential to improve fracture healing and long-term outcomes. Embedded in the broader European context of healthy ageing and sustainable healthcare, GAP contributes to strengthening Europe’s capacity to prevent fractures, enhance patient care and reduce the social and economic impact of bone fragility. Further information about the project is available on: i) the project website: https://www.gapmscaproject.com/ ii) LinkedIn profile: https://www.linkedin.com/in/gap-msca-project-72a536316/ iii) Instagram profile: https://www.instagram.com/gap_msca_project/

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

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.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз