Objective
In this project I will shed light on the physical mechanisms defining the interaction between ultrasound (US) waves and lung tissue. This knowledge gain will be instrumental for reinventing how we diagnose and monitor lung diseases and for developing a cost-effective, transportable, bedside available, real-time and safe solution.
Lung diseases have a large impact worldwide. Pneumonia is the largest infectious cause of death in children. COVID-19, COPD and lower respiratory infections are the 2nd, 4th and 5th leading causes of death, causing over 14 million deaths per year.
Computed tomography is today’s diagnostic gold standard, but is expensive, often inaccessible, bedside unavailable, and based on hazardous ionizing radiations.
US could offer a solution. However, existing US diagnoses rely on qualitative and subjective interpretations of imaging patterns, exhibit poor specificity, and are performed with imaging modalities inadequate for the lung.
My research aims at reconceiving the way US is applied to the lung and proposes innovative and quantitative methods with the potential to revolutionize the way we diagnose and monitor lung diseases.
Healthy lungs behave like a perfect reflector to US and can be modelled as clusters of air bubbles (the alveoli) whose proximity, dimensions, and surrounding material vary in the presence of a disease, e.g. due to fluid extravasation or fibrosis. The spectral features of US echo-signals obtained from the lung depend on these variations. I propose their understanding as indicators for grading and differentiating lung pathologies. To this end, I will conduct numerical, in-vitro, and clinical studies.
LUMI will generate new fundamental knowledge on the interaction between US and lung tissue and offer improved lung diagnostics. My strong international status in the field, combined with a unique match between the project requirements and my expertise, provide a solid basis for success.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine pneumology
- medical and health sciences basic medicine pathology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-COG
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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.
38122 TRENTO
Italy
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.