SubsidieMeestersAI to predict Cancer metastasis using Ultra-Echo-Sono imaging
AI CUrES aims to enhance early diagnosis and pre-emptive therapies for cancer metastasis by utilizing nanosized-contrast agents and AI-driven bioimaging of extracellular vesicles from colorectal tumors.
Projectdetails
Introduction
Cancer metastasis is the leading cause of death within tumor disease and is currently an unmet clinical need. This dramatic clinical evidence requires immediate action in terms of early diagnosis and then pre-emptive therapies, not only for the primary tumor but especially at the first stages of metastasis formation.
Mechanism of Metastasis
Metastasis is the result of a complex mechanism, still under study, which involves the trafficking of biological materials, in particular extracellular vesicles (EVs), from the primary tumor site towards other tissues.
Project Overview
The project AI CUrES aims to propose novel methodologies for early diagnosis of metastasis, by gaining new knowledge at the early stage of their formation with a real-time and predictive approach. This work has the future vision of predicting possible patient outcomes and helping to set timely pre-emptive therapies.
Exploiting Extracellular Vesicles
I believe that this is possible by exploiting the EVs specifically produced by the primary tumor, here by colorectal cancer (CRC). In AI CUrES, such EVs will be tagged by specific nanosized contrast agents and their trafficking in biological media reported by an innovative multi-modal bioimaging technology having high resolution, deep tissue penetration, real-time, and molecular characteristics.
Data Collection and Analysis
The collected images of EVs trafficking towards recipient cells or tissues will be refined and further elaborated by artificial intelligence algorithms, with the aim to predict the possible metastasis development from a starting CRC tumor mass.
Expected Outcomes
AI CUrES will prove the efficacy of this approach by enabling, as expected outcomes:
- Deep scientific knowledge on metastasis formation mechanisms.
- Demonstrating a breakthrough innovation in bioimaging technologies.
- Developing digital tools for health monitoring and diagnosis of oncological patients.
Broader Impact
The results can also be useful in other tumors leading to metastasis and to empower Europe towards digital tools for predictive diagnosis.
Financiële details & Tijdlijn
Financiële details
| Subsidiebedrag | € 150.000 |
| Totale projectbegroting | € 150.000 |
Tijdlijn
| Startdatum | 1-11-2022 |
| Einddatum | 30-4-2024 |
| Subsidiejaar | 2022 |
Partners & Locaties
Projectpartners
- POLITECNICO DI TORINOpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Vergelijkbare projecten uit andere regelingen
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MIRACLE the platform for virtual biopsies; introducing Metabolic MRI-as-a-Service for oncologic careMIRACLE aims to develop a non-invasive MRI add-on for virtual biopsies, enabling personalized cancer treatment decisions by providing structural and metabolic tumor information globally. | EIC Transition | € 2.495.127 | 2022 | Details |
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3D spheroids derived from single cells for discovering stochastic patterns behind metastasis3DSecret aims to revolutionize cancer treatment by analyzing single circulating tumor cells using advanced technologies to uncover stochastic patterns driving metastasis and improve diagnosis and prognosis. | EIC Pathfinder | € 2.591.050 | 2023 | Details |
AI-based medical assistant - Herkennen en classificeren van tumoren m.b.v. kunstmatige intelligentie
Dit project ontwikkelt een geavanceerde beeldherkenningstechnologie voor realtime screening van eiwittypologieën in biopten, om de behandeling van complexe tumoren te verbeteren.
DETACT - Detection of Enzymes and muTAtions for Cancer Treatment
Cytura Therapeutics en ENPICOM ontwikkelen een innovatieve diagnostische assay voor vroege kankerdetectie door het meten van enzymactiviteit en mutatiepatronen in bloedcellen.
MIRACLE the platform for virtual biopsies; introducing Metabolic MRI-as-a-Service for oncologic care
MIRACLE aims to develop a non-invasive MRI add-on for virtual biopsies, enabling personalized cancer treatment decisions by providing structural and metabolic tumor information globally.
Vroegtijdige detectie van terugkerende alvleesklierkanker
Het project ontwikkelt een AI-model voor vroegtijdige detectie van terugkerende alvleesklierkanker via CT-scans.
3D spheroids derived from single cells for discovering stochastic patterns behind metastasis
3DSecret aims to revolutionize cancer treatment by analyzing single circulating tumor cells using advanced technologies to uncover stochastic patterns driving metastasis and improve diagnosis and prognosis.