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Mole Gazer: Proof-of-concept study to improve early detection of melanoma using time-series analyses of evolution of naevi

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.

Call for proposal

ERC-2019-PoC
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Host institution

UNIVERSITY OF SOUTHAMPTON
Address
Highfield
SO17 1BJ Southampton
United Kingdom

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Activity type
Higher or Secondary Education Establishments
EU contribution
€ 150 000

Beneficiaries (1)

UNIVERSITY OF SOUTHAMPTON
United Kingdom
EU contribution
€ 150 000
Address
Highfield
SO17 1BJ Southampton

See on map

Activity type
Higher or Secondary Education Establishments