Project description
Astronomy-based AI for melanoma prediction
Sequential monitoring of skin moles by a dermatologist constitutes the gold standard method for early melanoma detection. However, this approach is time-consuming and inefficient. Scientists of the EU-funded MOLEGAZER project propose to develop an automated total-body photography method for monitoring skin moles that exploits artificial intelligence algorithms used in astronomy to monitor the night sky and predict the nature and outcome of various events. The proposed approach will utilise skin images to automatically detect changes in moles and enable the robust prediction of the evolution of skin lesions, paving the way for the early detection of melanoma.
Objective
Early detection of melanoma improves survival. Individuals with multiple naevi (moles) are at an increased risk of developing melanoma, but sequential monitoring by dermatologists is time-consuming and inefficient. Artificial intelligence (AI) methods can potentially diagnose melanoma from single time-point lesion images, but a more clinically-relevant question is whether melanoma can be detected early, based on automated detection of changes in naevi using total body photography (TBP; high-resolution standardised images of body-parts).
Cutting edge astronomical surveys use sequential images to monitor the night sky. With state-of-the-art AI techniques, these surveys identify and track subtle changes, robustly classifying the nature and prognosis of each event from just three images. Both astronomy and dermatology therefore face similar challenges: robustly predicting the evolution of sources from sparsely-sampled images. With this motivation we propose an innovative solution: adapting AI algorithms, developed in astronomy and the ERC SPCND project, for use in the automated detection, characterisation and monitoring of skin lesions. With a wealth of experience tackling this problem in astronomy, this proof-of-concept project will characterise the properties and evolutionary path of naevi in preparation for the next stage: the early detection of melanoma.
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.
- natural sciences computer and information sciences artificial intelligence
- medical and health sciences clinical medicine dermatology
- medical and health sciences clinical medicine oncology skin cancer melanoma
- natural sciences physical sciences astronomy
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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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H2020-EU.1.1. - EXCELLENT SCIENCE - 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.
ERC-POC - Proof of Concept Grant
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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-2019-PoC
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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.
SO17 1BJ SOUTHAMPTON
United Kingdom
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.